UberCloud Newsletter February 2019: AI, ANSYS, Automotive, CFD, Cloud Revenue, Containers, Human Brain, Life Sciences, Living Heart, LS-DYNA, and UberCloud

March 1, 2019 in UberCloud Voice February 2019


Cloud Revenue 2018

Cloud Revenues Approached $70B in 2018

Strong growth in the enterprise cloud market will also influence the HPC Cloud market. If there was any doubt about the shift to cloud computing, look no further than end-of-the-year revenue totals compiled by Synergy Research Group. The market watcher calculates that cloud providers racked up nearly $70 billion in infrastructure revenues during 2018. Read the article here: https://www.enterprisetech.com/2019/02/20/cloud-revenues-approached-70b-in-2018/


Rob Faber

How Cloud Computing Has Forever Changed HPC

Great article from Rob Faber, renowned Global Tech Consultant and Author. “This article was produced as part of Intel’s HPC program, with the goal of highlighting cutting-edge science, research and innovation driven by the HPC community through advanced technology.” Read the article: https://www.technologynetworks.com/informatics/articles/how-cloud-computing-has-forever-changed-hpc-315892




New UberCloud Compendium of 36 Case Studies in CFD in the Cloud

In this new Compendium we have collected 36 CFD case studies summarizing HPC Cloud projects which we have performed together with the engineering community over the last six years. Free download of the CFD Compendium at https://info.theubercloud.com/ubercloud-compendium-cfd


RevSim Web5

UberCloud Airbag Simulation with ANSYS LS-DYNA

Revolution in Simulation presents a new webinar series about “Democratizing HPC – Presenting Selected CAE Case Studies”.  Watch the most recent 8-minute Webinar Snippet of REV-SIM’s Virtual Coffee Break Webinars series from Bob Farrell, Alan Chalker, Wolfgang Gentzsch here: https://revolutioninsimulation.org/webinars/



Again: UberCloud Recognized with three HPC Industry Awards

Rich Bruckner from InsideHPC writes that “Today the UberCloud announced that it has been recognized in three leading HPC industry awards for two of its innovative engineering projects in the cloud. Read the article here: https://insidehpc.com/2019/02/ubercloud-recognized-with-three-hpc-industry-awards/



Webinar: Virtual Human Brain Simulations with Abaqus in the Cloud

Join Dassault Systèmes / Simulia, Advania Data Centers and UberCloud for a live webinar about our award winning project: HPC Cloud Simulation of Neuromodulation in Schizophrenia. Learn how simulation and high-performance computing in the cloud play a key role in accelerating personalized healthcare. Register for this webinar at http://info.theubercloud.com/webinar-brain-simulation-with-abaqus



HPC in the Hands of Every Engineer With Software Containers

In this insideHPC special guest feature, Wolfgang Gentzsch from The UberCloud writes that we’ve never been so close to ubiquitous computing for researchers and engineers. The next big step toward ubiquitous HPC is coming from software container technology based on Docker, facilitating software packaging and porting, ease of access and use, service stack automation and self-service, and simplifying software maintenance and support. Read the article: https://insidehpc.com/2019/02/hpc-in-the-hands-of-every-engineer-with-software-containers/


Living Heart

Powering life Sciences – The Living Heart Project

HPC is driving major breakthroughs in life sciences and becoming foundational to innovators’ success. Today, HPE is harnessing the extreme scalability of the cloud to maximize agility and scalability both on and off-premises with no HPC horsepower compromise. In order to support ground-breaking efforts like the Living Heart Project, HPE is building a network of worldwide and regional partners like UberCloud to deliver capabilities that are changing lives. Read the feature story from Jean-Luc Assor, HPE Worldwide Manager Hybrid HPC/HPC Cloud: https://cloud28plus.com/NA/article/Powering-Life-Sciences



Innovative Use of HPC in the Cloud for AI, CFD, & Life Science

In this video from the 2019 Stanford HPC Conference, Ebru Taylak from the UberCloud presents: Scientists and engineers today have access to advanced tools and software to simulate complex physics. However, typical workstations often do not provide enough compute power to solve their problems. A scalable platform such as the cloud, provides more accurate results, while reducing solution times. Ebru demonstrates recent examples of innovative use cases of HPC in the Cloud, such as, “Personalized Non-invasive Clinical Treatment of Schizophrenia and Parkinson’s” and “Deep Learning for Steady State Fluid Flow Prediction”. Read the insideHPC article here: https://insidehpc.com/2019/02/innovative-use-of-hpc-in-the-cloud-for-ai-cfd-lifescience/


New UberCloud e-Library with all our 15 HPC Cloud Compendiums

UberCloud’s Engineering case studies are published by engineering application areas such as CFD, ANSYS, Deep Learning in CAE, Engineering Software Containers, Technical Computing (5 Volumes), Life Sciences, Advania, Azure, Democratization of CAE, Siemens STAR CCM+, and GROMACS in the Cloud. You can download these Compendiums for free here: https://www.theubercloud.com/ubercloud-compendiums

And visit our February Blog Posts at https://blog.theubercloud.com/ about:

UberCloud January Newsletter: ANSYS, CAE, Cloud, Containers, Docker, HPC, MCADCafe, Microsoft Azure, Security, and Simulation

February 2, 2019 in UberCloud Voice January 2019


Burak Yenier at PnP small

The Future of HPC

UberCloud CEO Burak Yenier writes in his latest blog that “High Performance Computing is changing and is no longer limited to running high volumes of batch jobs on an HPC only compute cluster. We are in the era of multi-purpose and embedded High Performance Computing which is closer to the users than ever before. Cloud computing brings HPC capabilities to the fingertips of app developers and their users become HPC consumers without even hearing the term. Read Burak’s Blog HERE.

CAE Containers

High Performance Computing in the Hands of Every Engineer With HPC Software Containers

High Performance Computing (HPC) continues to progress, and the next big step toward ubiquitous HPC is coming from software container technology based on Docker, facilitating software packaging and porting, ease of access and use, service stack automation and self-service, and simplifying software maintenance and support, as explained in this LinkedIn article.

CAE Simulations

How to Select a Cloud Provider for CAE Simulations?

Your simulations have exceeded the capabilities of your desktop workstation. Now what? Project workloads are only intensifying, requiring more computing resources than the IT department is willing to buy for your group. If only there was a cloud service for running simulations… David Waltzman is discussing in his Blog how to choose the right cloud for your specific CAE application and budget.


Why ANSYS Users Need the Cloud

Product development has changed over the last couple of years and is still evolving. Smarter and more customized products, new materials and manufacturing methods, and connected and interacting devices require current engineering practices to evolve. Alexander Gatzemeier describes in his article what this means for ANSYS users and how they can successfully include cloud computing for their ANSYS application.


UberCloud’s Industry Predictions 2019

In this short post on MCADCafe Wolfgang Gentzsch offers his view on how CAE is developing over the course of the year. There is a growing acceptance of Artificial Intelligence, Big Data, Industry 4.0, Digital Twins, 3D Printing, and Cloud Computing, fueled by the engineers’ desire to make their complex and demanding tools and techniques more applicable, economical, user-friendly, intuitive, and automatic, to be finally used by every engineer.

UberCloud Security small

UberCloud Security on Microsoft Azure

This UberCloud white paper covers the key areas of UberCloud security in detail and discussed Azure security principles. The primary areas of security including: Physical Security, System Security, Operational Security, Application and Data Security.

Rev-Sim Webinars small

REV-SIMs Virtual Coffee Break Webinar Snippets

Revolution in Simulation presents a new webinar series about democratizing HPC – Presenting selected CAE case studies”.  Part 1: Series Overview. Planned are 24 max 10-min-short recorded sessions in 2019 uploaded onto Rev-Sim’s YouTube Channel, so far Part 1: Democratizing HPC – Introduction; Part 2: BWAY Buckets; and Part 3: ANSYS for Bio Reactors.

Container Compendium small

21 New UberCloud Case Studies about Containerized CAE Projects

New UberCloud Compendium of Engineering Case Studies Using UberCloud HPC Containers in the Cloud. A selection of 21 UberCloud case studies from 2015 – 1018, all based on UberCloud HPC Docker containers. 117 pages and numerous figures, tables, and diagrams. Download this new Compendium from the UberCloud website.

UberCloud December 2018 Newsletter: Abaqus, ANSYS, Autodesk, Advania, Dassault, Deep Learning, Fraunhofer, HPC User Forum, HPE, Hyperion, Intel, Microsoft Azure, NIMHANS, PBBL Law, Renumics, SolidWorks, and Stanford

February 2, 2019 in UberCloud Voice December 2018

Norway ADL

The Growing Acceptance of CAE in the Cloud

In this Feature story in Digital Engineering, we are demonstrating with four recent engineering case studies, the growing acceptance of CAE, especially in new user communities and application areas. Major reasons for this trend are continuous improvements in user-friendly CAE software, the ongoing price/performance improvement in high-performance computing (HPC), and easy and affordable access to powerful computing in the cloud. We describe how simulation is being used for lawsuits in court, treating schizophrenia, in middle school education, and in deep learning.


Personalized Healthcare small

Accelerating Personalized Healthcare with HPC in the Cloud

Major factors contributing to the acceleration of personalized healthcare in recent years come from advances in HPC, data analytics, machine learning, and artificial intelligence, enabling scientists now to perform the most sophisticated simulations in genomics, proteomics, and many other fields, using methods like genome analysis, molecular dynamics, and more general computer aided analysis methods widely applied and proven in other areas of scientific and engineering modeling. In this article in Diagnostics World, we demonstrate the impact of computer simulations on personalized health care and present two research projects aiming at Stanford’s living heart and NIMHANS’ brain simulations.


Cloud HPC

Cloud HPC Executive Value Guide – How to Align Your Goals with Those of Your Executives

Experts universally agree on the positive business impact of cloud computing. But, convincing your executives requires more. They need to clearly understand the true value of cloud computing to your organization. In this guide, you’ll learn what every executive needs to know about the corporate value of cloud computing.


Team 211 -2

Deep Learning for Fluid Flow Prediction in the Cloud

In this article posted on LinkedIn we demonstrate the growing acceptance of HPC in new user communities and application areas. We present UberCloud / Renumics use case #211 on Deep Learning for Fluid Flow Prediction in the Advania Data Centers Cloud, for educational purposes, for our wider engineering simulation community. This project is another demonstration of the trend toward easy-to-use application software (in this case OpenFOAM) and the seamless access to HPC cloud resources based on UberCloud’s HPC Containers.


Hyperion 2018

UberCloud Wins Three Prestigious Awards for HPC in the Cloud

InsideHPC reports that, during the Hyperion Research’s HPC Market Update Breakfast Briefing at the 2018 Supercomputing Conference in Dallas, UberCloud, NIMHANS, and partners received the prestigious Innovation Excellence Award for its UberCloud Experiment and case study #200 based on “Computer simulations of non-invasive transcranial electro-stimulation of the human brain in schizophrenia.” Two more awards went to UberCloud’s case study #207 about PBBL Law’s Modelling Moisture and Moisture Transfer within a residential condo tower in the Microsoft Azure Cloud.


ADL Dec 2018

Comparing ANSYS Discovery Live with two Market Leaders

In this UberCloud Blog, I am summarizing an interesting article from Stewart Bible who discusses two established leaders – SolidWorks Flow Simulation from Dassault Systèmes and Inventor Autodesk CFD from Autodesk and Discovery Live, a relative newcomer from ANSYS. While none of these products have the full multi-physics capabilities of comprehensive CFD packages, they will be a good fit for users who desire CAD integration and have repeatable workflows and limited multi-physics requirements.


UberCloud November 2018 Newsletter: Abaqus, ANSYS, Advania, Dassault, Deep Learning, Fraunhofer, HPC User Forum, HPE, Hyperion, Intel, Microsoft Azure, NIMHANS, Oil&Gas, PBBL Law, and UberCloud

February 1, 2019 in UberCloud Voice November 2018



UberCloud Received 2018 Hyperion Innovation Excellence Award for HPC in Personalized Clinical Treatment of Schizophrenia and Parkinsons

This prestigious award from Hyperion and the HPC User Forum Steering Committee recognizes the high value of HPC simulations in improving the clinical application of non-invasive electro-stimulation of the human brain in schizophrenia and other neuropsychiatric disorders. Adding HPC, clinicians can now precisely target regions of the brain without affecting the healthy brain! The simulations have been performed by NIMHANS National Institute of Mental Health in India, Dassault SIMULIA, Advania Data Centers, and UberCloud, and sponsored by HPE and Intel.

Team 207 2

UberCloud Received Second 2018 Hyperion Innovation Excellence Award for Helping a Law Firm Winning a Lawsuit with HPC

The second Hyperion HPC Award for Innovation Excellence (out of three awards for 2018 went also to UberCloud for its HPC Cloud project “UberCloud, Fraunhofer Institute for Building Physics and Microsoft Azure helped PBBL Law with first-time HPC Cloud in winning a lawsuit against the builder of residential condominium towers”. In addition, this same team won this year’s HPCwire Editors Choice Award for Best Use of HPC in the Cloud !

Jean-Luc Assor in CIO small

From the Data Center to the Edge and to the Cloud The Future of HPC Is Hybrid

In this CIO Review Cover Story, Jean-Luc Assor, HPE’s WW Manager Hybrid HPC, explains how HPC has the potential to transform the entire product lifecycle with simulation, big data and deep learning. To capitalize on this opportunity, we need to redefine the way we deploy, use and pay for HPC technologies. That’s why hybrid HPC is the model of the future. It creates financial flexibility with consumption-based models. It can be deployed from edge to core to cloud to provide the optimal performance for each task. And it drives agility and collaboration with purpose-built IaaS and PaaS platforms.


Validation oil and gas

Digital Validation: Oil and Gas

This LinkedIn Post from UberCloud’s David Waltzman analyzes the major challenges in oil and gas drilling operations and how they can be resolved by applying HPC simulations. Such challenges are high cost, machinery failure because of stresses on the impeller and surrounding components, thermal load, shock and vibrations, and finally a huge amount of HPC simulations which are necessary to determine where the drilling sites should be located and predict production potential of the wells.


Wim SlagterScaling up Computing Capacity

In this article in Scientific Computing World, ANSYS Director of HPC and Cloud Wim Slagter highlights the importance of HPC for engineering Simulations – whether on premise or in the cloud. ANSYS has developed a FREE benchmark tool that allows users to test their own simulation model on a small HPC cluster to demonstrate the benefits of scaling up an organization’s computing infrastructure. “I personally have never come across an engineer yet who does not want more computing power”, Wim Slagter says.

Renumics DL

Democratization of HPC Part 4: Deep Learning for Fluid Flow Prediction in the Cloud

This is the fourth and final article in HPCwire demonstrating the growing acceptance of HPC in new user communities and application areas. We present UberCloud use case #211 on Deep Learning for Fluid Flow Prediction in the Advania Data Centers Cloud, for educational purposes, for our wider engineering simulation community. This project is another demonstration of the trend toward easy-to-use application software (in this case OpenFOAM) and the seamless access to HPC cloud resources based on UberCloud’s HPC Containers.


UberCloud Now Available in the Microsoft Azure Marketplace

This announcement has been featured in Bio-IT World. UberCloud customers can now take advantage of the scalability, high availability, and security of Azure, with streamlined deployment and management. “UberCloud’s HPC software containers provide engineers with seamless and immediate access to the cloud,” said Wolfgang Gentzsch, President of TheUberCloud, in a press release. “UberCloud’s new Cloud HPC consultation offerings on Microsoft Azure Marketplace will show engineers how easily they can benefit from the cloud to accelerate their simulations and increase their productivity.”


UberCloud October 2018 Newsletter about Advania, ANSYS, Azure, CFD, Dassault, Deep Learning, HPE, Intel, LAMMPS, NIMHANS, OpenFOAM, Renumics, SIMULIA, Tech-X, Tensorflow, and UberCloud

October 28, 2018 in UberCloud Voice October 2018


ANSYS Appstore

ANSYS Kicks off New Appstore

ANSYS is launching a new ANSYS AppStore enabling an eCommerce buying experience, and making it easy for customers and partners to search, shop, share and sell simulation applications created by ANSYS and its partners. The new web interface provides customers and application developers with a browsing and eCommerce experience.


ADL Students

Ninth Graders Design Flying Boats in ANSYS Discovery Live in the Azure Cloud

This HPCwire Feature demonstrates how 9th-grade 14-year old students in Norway design flying boats in ANSYS Discovery Live on Azure’s GPU instances, 3D-print them, and ‘crowning’ their 3-month tech course with a final competition for the best flying boat. They have been supported by ANSYS channel partner EDRMedeso and HPC Cloud service & technology provider UberCloud.



HPC in Personalized Non-invasive Clinical Treatment of Schizophrenia and Parkinsons

In this HPCwire Feature we demonstrate the high value of HPC simulations in improving the clinical application of non-invasive electro-stimulation of the human brain in schizophrenia and other neuropsychiatric disorders. Adding HPC, clinicians can now precisely target regions of the brain without affecting the healthy brain! The simulations have been performed by NIMHANS National Institute of Mental Health in India, Dassault SIMULIA, Advania Data Centers, and UberCloud, and sponsored by HPE and Intel.


Renumics DL

Deep Learning for Steady-State Fluid Flow Prediction in the Advania Data Centers Cloud

This UberCloud Case Study applies Artificial Neural Networks to solve CFD problems to significantly decrease time-to-solution while preserving the accuracy of traditional CFD solvers. Creating a large number of simulation samples is paramount to let the neural network learn dependencies between design and flow field. For this, Germany-based Renumics used UberCloud’s OpenFOAM container on Advania Data Centers HPCFLOW Cloud, supported by UberCloud AI Consultant Joseph Pareti.


ANSYS Compendium

ANSYS Compendium Now with 25 Case Studies

UberCloud’s ANSYS Compendium of Case Studies on technical computing in the CAE cloud has been updated! For this most recent edition, we added 12 new case studies of select UberCloud Experiments, based on ANSYS software CFX, Fluent, HFSS, LS-Dyna, Mechanical, and Discovery Live, and the whole project is sponsored once again by Hewlett Packard Enterprise and Intel and supported by ANSYS.



Cloud Performance of Peptide Benchmark Using LAMMPS Molecular Dynamics

UberCloud Case Study 199 studies adhesion dynamics for surface-tethered chains entangled in a polymer melt, using molecular dynamics package LAMMPS which is widely used in academia and industry. LAMMPS has potentials for solid-state materials (metals, semiconductors) and soft matter (biomolecules, polymers). It can be used as a parallel particle simulator at the atomic, meso, or continuum scale. The simulations have been performed in UberCloud’s LAMMPS container on AWS.

Microsoft Announces New UberCloud Professional Services Offer on Azure

September 30, 2018 in UberCloud Voice September 2018

UberCloud 2Companies of all sizes are adopting cloud computing to power their digital transformation strategy. But running complex technical computing workloads in the cloud requires careful planning. There are many moving parts and a holistic approach is required. In a recent Blog, Microsoft announced a new UberCloud professional service offer on Azure. This includes a 1-hour Cloud HPC Consultation Briefing and overview of Cloud HPC, and how it can accelerate your engineering simulations. The custom online briefing is for technical and business leaders to learn about how Cloud HPC can benefit their engineering simulations. Briefing Key Benefits: Learn how Cloud HPC is revolutionizing the product development process and how it can help your organization. See how you can run complex CAE codes on the Azure HPC platform. ANSYS, STAR-CCM+, OpenFOAM, Abaqus, CST, NUMECA and more. How to think about budgeting for Cloud HPC, and how to project estimated costs for 1 to 3 years. How to mitigate cloud adoption risks by using a methodical combination of process, software tools and expertise. See the new professional services offer HERE.

Team 211: Deep Learning for Fluid Flow Prediction in the Advania Data Centers Cloud

September 30, 2018 in UberCloud Voice September 2018

Team 211The goal of this UberCloud Case Study 211 was to apply Artificial Neural Networks to solve fluid flow problems and significantly decrease time-to-solution while preserving much of the accuracy of a traditional CFD solver. Creating a large number of simulation samples is paramount to let the neural network learn the dependencies between simulated design and flow field around it. This project between Renumics and UberCloud was therefore established to explore the benefits of additional cloud computing resources that can be used to create a large amount of simulation samples (in fact 100,000 !) in a fraction of the time a desktop computer would need to create them. In this project, we wanted to explore whether the overall accuracy of the neural network can be improved when more samples are being created in UberCloud’s OpenFOAM container on Advania Data Centers HPCFLOW Cloud and then used during the training of the neural network. This project has been sponsored by HPE and Intel.

Save License Costs AND Get Results Faster in the Cloud?

September 30, 2018 in UberCloud Voice September 2018

Cost Ansys on Azure

In the last two years nearly every major Independent Software Vendor (ISV) has adapted their licensing models to enable engineers to access flexible and scalable HPC resources in the cloud. In this Blog, Alexander Gatzemeier from UberCloud discusses various licensing options: from Bring Your Own License (BYOL), to Bring Your Own Tokens (BYOT), or a combination of both. This allows engineers to either use their on-premise licenses in the cloud, acquire additional licenses on demand, or even expand their on-premise licenses if access to larger resources is required. These new licensing options and the availability of unlimited HPC resources in the cloud offer new use scenarios. Read Alexander’s Blog HERE.

Engineering Colleges Need Simulation in the Classroom

September 14, 2018 in UberCloud Voice September 2018

Students lean simulationsEngineering colleges need to get on the simulation bandwagon. Simulation is a necessity for the automotive, aerospace, consumer goods, electronics, industrial and even health care industries. So, why do so many engineering colleges not teach the basics of finite element analysis (FEA) or computational fluid dynamics (CFD) software? In his ANSYS Blog post the author Ravi Teja Dhanalakota stresses the importance of learning and understanding simulation tools based on his experience as a recent mechanical engineering grad. Read more in his blog HERE.


Modelling Moisture and Moisture Transfer Within a Residential Condominium Tower in the Microsoft Azure Cloud

September 1, 2018 in UberCloud Voice September 2018

Team 207 2

In this project, UberCloud and Fraunhofer Institute helped Pursiano Law Group with first-time HPC Cloud use to winning a lawsuit against a builder of residential condominium towers. The subject property is a twin tower (15 and 20 stories) with 283-unit residential condominium. An extensive expert investigation established, among other issues, exterior plaster failure, water intrusion at improper window and roof installations, and high interior humidity levels with apparent biological growth observed on interior walls, baseboards and between layers of interior gypsum board at unit partitions. Fraunhofer’s WUFI Plus software has been used which is a hygrothermal building simulation software, part of the world’s leading building related hygrothermal simulation suite WUFI. The parametric study resulted in as much as 583 simulations on Microsoft Azure 16-core DS14 compute nodes investigating the building behavior depending on modified conditions. Read the detailed case study HERE.

Case Study 205: Vehicle Crash Using ANSYS LS-DYNA in the Opin Kerfi Cloud

September 1, 2018 in UberCloud Voice September 2018

Team 205The aim of this UberCloud Experiment #205 is to demonstrate the cloud performance of a frontal crash simulation of a vehicle against a rigid wall to examine injury risk and potential of safety with various FE models and to perform contact–impact nonlinear dynamic analysis of rigid wall with vehicle. In this study the ANSYS LS-DYNA Explicit solver is used to simulate the crash of the vehicle with a rigid wall. The main objective of this project is to understand vehicle crash behavior under dynamic conditions. The simulation framework is developed and executed in UberCloud’s ANSYS container in the Opin Kerfi Cloud to achieve accurate result prediction. This case study can be downloaded HERE.

UberCloud’s Azure Sales Guide: How to sell Azure HPC to my Accounts

August 18, 2018 in Uncategorized

UberCloud AzureIn the last 12 months we have been invited by Microsoft colleagues to several Azure workshops and training events for Microsoft sales and marketing, blackbelts, and business development experts, to present the UberCloud – Azure solution and sales strategies for High Performance Computing (HPC) on Azure. The attached slide deck provides a short insight into HPC and Cloud, describes the fully integrated Azure-UberCloud solutions for engineering simulations in Azure, and offers a few simple steps on how to identify and approach potential customers. Please see the Azure – UberCloud slide deck for details.

Case Study 204: Aerodynamic CFD Simulations in the Advania Data Centers HPCFLOW Cloud

August 15, 2018 in UberCloud Voice September 2018

Team 204The aim of UberCloud Experiment #204 was to demonstrate how Advania Data Centers HPCFLOW computing resources allowed Andre Zimmer from MantiumCAE to create a CFD simulation quickly and efficiently for the Silvermine 11SR sportscar. MantiumCAE set up a CAE computing environment in Advania’s HPCFLOW cloud where simulations have been carried out quickly and efficiently. A typical external vehicle aerodynamics simulation needs between 2.000 and 10.000 CPU core hours to be processed which would take weeks to run on a 16-core workstation, but by using the HPCFLOW cloud, MantiumCAE was able to deliver results within one business day. Download this case study HERE.

Team 206: Establishing the Design Space of a Bioreactor with ANSYS Fluent on Microsoft Azure

August 10, 2018 in UberCloud Voice August 2018, UberCloud's Microsoft Azure Quarterly Newsletter - Q3 / 2018

Team 205Bioreactors are the heart of every pharmaceutical manufacturing process. One goal of a bioreactor is to operate at process conditions that provide sufficient oxygen to the suspended cells. The design space of a bioreactor defines the relationship between the input and output parameters of the cell culture process and typically relies on a design of experiments (DOE) approach to characterize the inter-dependencies between tank design and process operating conditions. The pharmaceutical industry has adopted CFD modeling as a cost-saving option. However, the simulation time and compute resources required to explore the relationships between various process parameters can be quite extensive. This case study reviews the use of HPC to establish the design space of a production-scale sparged bioreactor. The simulation framework is developed and executed on Azure Cloud resources running the ANSYS Fluent UberCloud container. Read the case study HERE.

Team 203: Aerodynamic Study of a 3D Wing Using ANSYS CFX in the Opin Kerfi Cloud

August 10, 2018 in UberCloud Voice August 2018

Team 203The aim of this UberCloud Experiment #203 was to study the air flow and the forces acting on an aircraft wing due to the velocity of the air. The study provides in-depth insights on the air flow, pressure and velocity distribution around the wing and also parameters required to calculate the lift and the drag force. The simulation platform was built in a 128-core HPC cloud server with 125 GB RAM and with ANSYS CFX 19.0 modelling environment. The Cloud environment was accessed using a VNC viewer through the user’s web browser. The ANSYS software was running in UberCloud’s application software containers which enable users to instant interactive access and use of the ANSYS cloud environment. Read case study 203 HERE.

Team 202: Racing Car Airflow Simulation on the Advania Data Centers Cloud

August 3, 2018 in UberCloud Voice August 2018

Team 202The aim of this UberCloud Experiment #202 was to run a well-known ANSYS Fluent racing car benchmark on the newly developed HPE IaaS 1.0 cloud software stack providing HPCaaS and implemented on the Advania Data Centers HPCFLOW cloud, and to proof that this cloud platform is go-to-market ready. The project involved evaluating the racing car performance and the external air flow using the computational fluid dynamics (CFD) approach. The racing car CAD model with a dummy driver is modelled and used for this experiment. The CFD models were generated in the ANSYS 19.0 environment and the simulations platform was built in a 128-core HPC cluster in the Advania Data Center cloud. Read case study 202 HERE.

Moving CAE Applications to the Cloud is Getting Easier

August 1, 2018 in UberCloud Voice August 2018, UberCloud Voice July 2018

Compendium 2018In this Digital Engineering article, Burak Yenier and Wolfgang Gentzsch present the 2018 UberCloud COMPENDIUM  with 13 new case studies about the most recent engineering simulation projects in the cloud. These case studies – again sponsored by HPE, Intel, and Digital Engineering – demonstrate impressively how straightforward it has become to move an engineering simulation to the cloud. Among the projects are the following: Airflow within a Nasal Cavity; Ropax Ferry Performance; Implantable Planar Antenna with ANSYS HFSS; Impurities Transport in a Heat Exchanger Using OpenFOAM; Drug-induced Arrhythmias of a Human Heart with Abaqus 2017; Kaplan turbine flow using OpenFOAM in the Advania Cloud; Peptide Benchmark Using LAMMPS; Neuromodulation in Schizophrenia; Maneuverability of a KRISO Container Ship Model in the Cloud; Racing Car Airflow Simulation; Aerodynamic Study of a 3D Wing Using ANSYS CFX; and MantiumFlow for Studying Race Car Aerodynamics. Read this article in Digital Engineering and download the 2018 Compendium.


IT Infrastructure Modernization: Containers for Dummies

August 1, 2018 in UberCloud Voice July 2018

Containers DummiesIn order to modernize IT operations and accelerate app performance, enterprises must focus on consolidating and optimizing their infrastructure with the right mix of hybrid IT. Application software container technology is rapidly becoming the rising star in a field of solutions designed to drive digital transformation. Even in engineering and scientific High Performance Computing, software containers, first developed by UberCloud 5 years ago, dramatically simplify packageability, portability, access, and use of application software in private and public clouds. Download this guide – published by HPE – and learn what containers are, why teams are using them and how best to get started.

9th Graders Designed & Simulated Innovative Aircraft with ANSYS Discovery Live in the Azure Cloud

August 1, 2018 in UberCloud Voice July 2018, UberCloud's Microsoft Azure Quarterly Newsletter - Q3 / 2018

Norway students14-year old students at Torstad Youth School in Asker near Oslo, Norway, started their “Research in Practice” course in March with the goal of designing and developing a “FlyBoat’. During the course, students have studied physics and other science in theory and practice, and at the end they demonstrated solid knowledge of drag and lift, construction materials, hull shape, stability, forces, and center of gravity, to name a few. In addition, they learned to use ANSYS Discovery Live running in the Azure/UberCloud. The course has been accompanied by Håkon Bull Hove, a civil engineer and technical consultant at EDRMedeso, an ANSYS reseller in the Nordics. “I am very impressed, especially since they have learned to use ANSYS Discovery Live so well,” says Hove. Read the Teknisk Ukeblad Online Magazine article HERE (use Google Translate if you don’t understand Norwegian  :-) )

Opin Kerfi Announced Novel HPC Cloud Services at ISC Conference

August 1, 2018 in UberCloud Voice July 2018

Opin KerfiAt the recent ISC Conference in Frankfurt, our cloud partner Opin Kerfi announced its new High Performance Cloud Services for engineers and scientists. Opin Kerfi have since 1985 offered IT services and solutions to domestic and international customers, providing substantial financial benefits due to the green, low-cost energy grid especially to high-performance computing users. Previously offering co-location and dedicated services, Opin Kerfi now offer completely subscription-based cloud- and Software-as-a-Service solutions through the link to UberCloud, making it easy for engineers to run sophisticated software from ANSYS, Dassault Systèmes, Siemens, and more on powerful cloud hardware using UberCloud’s unique HPC container technology. Read more details about Opin Kerfi’s HPC Services HERE.

Software as a Service for ANSYS

August 1, 2018 in UberCloud Voice July 2018

Team 193The HPC stack has been getting more and more capable. New hardware, on-demand software licensing, and more. Managing the HPC stack, however, has gotten more complex. Along with HPC hardware, you also need to implement management tools as well as the ANSYS application itself. Then there’s the ongoing tuning, upgrading and maintenance of this sophisticated environment. The Software as a Service (SaaS) stack for ANSYS leverages Advania‘s unique cluster provisioning and management capabilities, developed in partnership with Hewlett Packard Enterprise, and includes UberCloud‘s production-ready ANSYS software container with full GUI capabilities, providing a no-learning-needed cloud experience. This puts all the ANSYS tools at your fingertips, in a second – including ANSYS FluentANSYS CFX, ANSYS Mechanical Enterprise, ANSYS HFSS – in order to dramatically increase your engineering productivity, as described in more detail HERE.

Elastic HPC Infrastructure: How non-hybrid HPC could be leaving customers behind

August 1, 2018 in UberCloud Voice July 2018

Gisli KrIn an interview published on the Advania Data Center (ADC) ‘s website, Gísli Kr., ADC’s Chief Commercial Officer, said: “HPC workloads, like the more traditional workload, is going to be variable and have workload spikes.The only reason why your in-house HPC workloads are flat is because you’ve maxed out on your HPC infrastructure. In fact, maybe we have yet to see the true workload spikes and workload trends in HPC, because everybody’s maxing out their local infrastructure all the time to avoid over investment.” And: “I certainly welcome feedback on the “elastic HPC infrastructure” insight. Some may agree, and some may disagree. But the overall trend going forward is certainly clear. Workloads are going to grow,” he says. “If you’re not thinking about Hybrid HPC at this point, then you’re starting to lag behind.” 

The Dilemma: On Premise or Cloud?

August 1, 2018 in UberCloud Voice July 2018

Wim SlagterOver the last couple of years, more and more companies are wrestling with the same question: “Shall I continue to invest in on-premise hardware or switch to cloud computing?” In this ANSYS Blog, Wim Slagter suggests to carefully consider eight important questions, such as: How important is business agility for your organization? Do you have significant variations in your simulation workloads? Does your organization have Capex constraints? How important is it to your organization to maintain a sense of control? Do you have plans to enlarge the geographical footprint of your organization? What’s the level of IT support available to you? Does your organization need to address big data analytics and/or internet of things (IoT)? What’s the level of customization required? Read Wim Slagter’s answeras to these questions and his key Takeways HERE.

Advania Data Centers, Numeca, and UberCloud Help Advance Fluid Dynamic Research

July 1, 2018 in UberCloud Voice June 2018

Team 201 1

Numeca International, a leader in the field of Computational Fluid Dynamics (CFD) and multiphysics software, has announced it will be contracting with Advania Data Centers to advance its High Performance Computing (HPC) offerings. Working with Advania Data Centers and their partner UberCloud, Numeca will now be able to offer its engineering customers the opportunity to run Numeca’s design, analysis and optimization software in the cloud and on demand. This will greatly enhance their ability to tackle complex calculations and improve their flexibility to test them on demand, all while providing them with an HPC environment that accelerates their computing capacity. Read Advania’s full announcement in HPCwire  HERE.

Microsoft lets you move TERABYTES of data to Azure incredibly quickly

July 1, 2018 in UberCloud Voice June 2018, UberCloud's Microsoft Azure Quarterly Newsletter - Q3 / 2018

Azure Fast Data Transfer

A new high-speed cloud tool that can move up to four terabytes of data to Azure in just an hour has been launched by Microsoft. Fast Data Transfer is aimed at companies and organisations that need to transfer a large number of files from their servers to the cloud, or want to maximize their internet connection. Four terabytes is the equivalent of more than 18.3 million 200-page books, 6,452 CDs or 932 DVDs. Fast Data Transfer works by using all the available bandwidth in an internet connection, even when the user is sending information over long distances. Information that travels a long way via copper and fiber-optic cables will often need “amplifying” to ensure it reaches its destination. Microsoft’s solution, which runs on Windows and Linux, is up to 10 times faster than similar transfer tools and also offers options for enhancing performance. Read all the great details about this tool HERE.

ISC High Performance – Intersect360 Forecasts Strong Growth of HPC Cloud Services

July 1, 2018 in UberCloud Voice June 2018

Addison Snell ISC18HPC in the cloud is one of those “insanely great” ideas that, failing to fire, year after year recedes before our expectations. Until, that is, last year, according to industry watcher Addison Snell, CEO of Intersect360 Research, which he said was a “break-out year” for HPC in the cloud. The hot growth segment of the industry in 2017 was cloud HPC which grew by 44 percent to $1.1 billion, according to Intersect360, exceeding the billion-dollar mark for the first time. “HPC cloud computing really had a break-out year,” Snell said, “which we’ve been waiting for.” Intersect360 expects cloud HPC to continue its hot pace, reaching $2 billion next year and $3 billion in 2022. One of the growth factors, Snell said, is the maturation of licensing models, particularly for ISV codes in the HPC space. “It got easier in 2017 to migrate your Abacus license to the cloud, or Fluent, and that caused a lot of the spike for the higher value components, like SaaS.” Read Snell’s HPC market summary from Doug Black on HPCwire HERE.

ISC High Performance – Hyperion HPC Cloud Market Forecast

July 1, 2018 in UberCloud Voice June 2018

Earl Joseph ISC18

At the ISC18 Conference last week in Frankfurt, Hyperion CEO Earl Joseph said the industry in Q1 of this year continued the momentum achieved 2017, and he expects the industry to grow at a healthy 10 percent annually through 2022. For 2017, industry server revenues totaled $12.3 billion (up from $11.2B in 2016). Joseph also pointed to HPC offerings from public cloud service providers are a source of growth. “The cloud portion is lifting the market, too,” Joseph said. “A big question was: Will people stop spending on-premise and spend more on the cloud. Across the market, that doesn’t happen. It’s like the cluster revolution of 15-20 years ago. When you can do more HPC, which really is doing more R&D in general, you’re more successful. And organizations and governments tend to give you more money. We generally are seeing the cloud lifting the market as a whole and bringing more money and expenditures into organizations.” Read Joseph’s HPC market summary from Doug Black  on HPCwire HERE.

From the Data Center to the Edge and to the Cloud The Future of HPC Is Hybrid

June 17, 2018 in UberCloud Voice June 2018

Jean-Luc AssorToday, high-performance computing (HPC) can support the entire product lifecycle from design to operations. This requires HPC to embrace hybrid models across the edge, core data centers, and cloud. One of the main attractions of the Internet of Things (IoT) is that it continuously provides manufacturers with sensor data from the ongoing operation of devices, machines, and facilities. This information forms the basis for an improved user experience and improved operations such as predictive maintenance, fault analysis via digital twins. New IoT use cases like predictive maintenance fuel HPC growth. However, this very HPC growth drives some underlying challenges and pressure on HPC to embrace new deployment models and technologies. In his CIO Review article, Jean-Luc Assor, Worldwide Manager Hybrid HPC at Hewlett Packard Enterprise describes the major challenges and the opportunities for companies to embrace new deployment models and technologies.

Engineering Software as a Service Now Available From Opin Kerfi and UberCloud

June 1, 2018 in UberCloud Voice May 2018

Opin KerfiREYKJAVIK, May 31, 2018 — Opin Kerfi and UberCloud have announced a partnership which enables Opin Kerfi’s customers to gain instant access to world-leading engineering simulation software and UberCloud’s customers to source their compute power from powerful and sustainably fueled Iceland. Opin Kerfi have since 1985 offered IT services and solutions to domestic and international customers, providing substantial financial benefits due to the green, low-cost energy grid especially to high-performance computing users. Previously offering co-location and dedicated services, Opin Kerfi now offer completely subscription-based cloud- and Software-as-a-Service solutions through the link to UberCloud, who makes it easy for engineers to run sophisticated software from ANSYS, Dassault Systèmes, SIEMENS and more on powerful cloud hardware using UberCloud’s unique HPC container technology. Read the full announcement in HPCwire HERE. 

Webinar Recording – – Hybrid HPC and Best Practices for Running ANSYS as a Service

June 1, 2018 in UberCloud Voice June 2018, UberCloud Voice May 2018

ANSYS on AdvaniaDid you miss this free webinar from Advania Data Centers, HPE, ANSYS and UberCloud, about ANSYS as a Service? Will you learn more about best practices and how your ANSYS simulations can benefit from Hybrid HPC cloud? You can still register for the Webinar Recording HERE and learn more about the following details:

– How HPC as a Service can help you overcome typical engineering challenges
– How to run your ANSYS simulations on powerful remote resources
– What to look for in an HPC as a Service stack
– Licensing options and sample pricing

2018 UberCloud Compendium of Case Studies

May 23, 2018 in UberCloud Voice May 2018

Compendium 2018

Here is the 5th annual Compendium of selected case studies based on 13 UberCloud Experiments, sponsored again by Hewlett Packard Enterprise and Intel. These case studies deal with: Airflow within a Nasal Cavity; Ropax Ferry Performance in the Cloud; Implantable Planar Antenna Simulation with ANSYS HFSS; Impurities Transport in a Heat Exchanger Using OpenFOAM; Cardiac Simulator to Study Drug Toxicity; Studying Drug-induced Arrhythmias of a Human Heart with Abaqus; Kaplan turbine flow simulation using OpenFOAM in the Advania Cloud; Peptide Benchmark Using LAMMPS Molecular Dynamics; HPC Cloud Simulation of Neuromodulation in Schizophrenia; Maneuverability of a KRISO Container Ship Model; and more. You can download the 2018 Compendium HERE.

Compendium of Case Studies on Technical Computing in the Advania Data Centers Cloud

May 8, 2018 in UberCloud Voice June 2018

Advania Compendium

UberCloud and Advania have helped manufacturers to move (part of) their engineering workload to the Advania Data Centers Cloud. In many cases we select Advania because of its excellent HPC bare-metal performance and high scalability (up to hundreds of compute cores). The recent Advania/UberCloud Compendium contains 6 selected engineering case studies, about  engineering simulations performed in the Advania Cloud, drawing from a select group of projects undertaken as part of the UberCloud Experiment and sponsored by Hewlett Packard Enterprise and Intel. Case studies are dealing with: Complex Blood Flow through Cardiovascular Medical Device Using OpenFOAM; Simulation of Impurities Transport in a Heat Exchanger Using OpenFOAM; Development and Calibration of Cardiac Simulator to Study Drug Toxicity; Studying Drug-induced Arrhythmias of a Human Heart with Abaqus 2017; Kaplan turbine flow simulation using OpenFOAM; and Neuromodulation in Schizophrenia. You can download a copy of the compendium HERE.

Big Compute in the Microsoft Azure Cloud – A Compendium of Engineering Case Studies

May 6, 2018 in UberCloud Voice May 2018, UberCloud's Microsoft Azure Quarterly Newsletter - Q3 / 2018

Azure Compendium 2018

UberCloud and Microsoft have helped numerous manufacturers to move (part of) their engineering workload to the Azure Cloud. In many cases we select Azure because of its excellent HPC performance and high scalability (up to hundreds of compute cores). The recent Azure/UberCloud Compendium contains 10 selected engineering case studies, about: Finite Element Analysis for 3D Microelectronic Packaging in the Cloud; Aerodynamic Simulation of an Airfoil using UberCloud Containers on Microsoft Azure; OpenFOAM CFD Modelling and Product Optimization of Dry-type Transformers; Radial Fan CFD Simulation in the Azure Cloud; Spray modeling of PMDI dispensing device on the Microsoft Azure Cloud; Air flow through an engine intake manifold; Airbag simulation with ANSYS LS-DYNA; CFD Analysis of a V6 intake manifold using STAR-CCM+ in the Cloud; CFD Simulation of Vertical Axis Wind Turbines; and CFD Simulation of Airflow within a Nasal Cavity.You can download the Compendium HERE.

InsideHPC Video: Moving Towards Personalized Medicine at The UberCloud

May 1, 2018 in UberCloud Voice May 2018

Tucson interview April 2018In the last six years UberCloud has performed 200 cloud experiments with engineers and scientists and their complex applications. In a series of challenging high performance computing applications in the Life Sciences, UberCloud’s HPC Containers have been packaged recently with several scientific workflows and application data to simulate complex phenomena in human’s heart and brain. As the core software for these HPC Cloud experiments we are using the (containerized) Abaqus solver running in a fully automated multi-node HPE environment in the Advania HPC Cloud. Read Rich Bruckner’s article and see the video HERE.

Capitalizing on the opportunity of hybrid cloud in HPC

May 1, 2018 in UberCloud Voice May 2018

Univa Hybrid CloudRecently, the industry has reached a tipping point as evidenced in a recent customer survey that showed a marked increase in interest and use of HPC Cloud. This openness is fueled in part by new applications that are suited to Cloud, new Cloud-service and hardware offerings, and advances in management software. Hybrid Cloud computing – the choice of 70% of those deploying Cloud in an Univa survey – has become not just practical, but an essential approach to HPC architectures to ensure enterprise competitiveness. In a new UNIVA HPC Cloud white paper – the first in a series – Univa will examine how enterprise HPC users can best embrace hybrid Cloud with a set of recommendations and a four-step process for getting started.

Team 201: CFD Study of the Maneuverability of a KRISO Container Ship Model in the Cloud

April 27, 2018 in UberCloud Voice May 2018

Team 201 1The aim of this UberCloud Experiment #201 from Xin Gao, Master Student at the Department of Dynamics of Maritime Systems at theTechnical University of Berlin, Germany, was to verify the feasibility of overset grids for direct zigzag test using “appended” KRISO Container Ship (KCS) model by means of the NUMECA UberCloud container on the cloud. The commercial CFD software FINE/Marine packaged by NUMECA International S.A. was employed during this experiment. All simulations were run on the newest software version 6.2, whose robustness has been drastically improved. Meanwhile, it was hoped to accelerate simulations through the powerful HPC Cloud resources provided by UberCloud Inc. and NUMECA. Read the detailed case study – sponsored by HPE, Intel, and NUMECA – from Xin Gao HERE.

Hybrid HPC is Speeding Time to Insight and Revolutionizing Medicine

April 27, 2018 in UberCloud Voice April 2018

Living HeartHPC-driven advancements are leading to breakthroughs in critical areas such as drug discovery and personalized and predictive medicine. To spearhead this effort, Hewlett Packard Enterprise (HPE) is delivering a new breed of HPC for life sciences. By combining the security and reliability of on-premises technology with the unbounded agility and scalability of the public and private cloud, life sciences organizations can deploy a right-sized infrastructure to extend HPC capabilities, increase ease of use, and accelerate time to insight. Read in this HPCwire article by Bill Mannel, HPE’s VP & GM, HPC Segment Solutions and Apollo Servers, Data Center Infrastructure Group, how HPE pioneered the Hybrid HPC model in 2017, and how, in collaboration with a powerful partner ecosystem, the life sciences sector is currently undergoing a major paradigm shift.

Azure Government Cloud Is Ready For Your Simulations

April 26, 2018 in UberCloud Voice April 2018

US CongressState and federal government entities and the public sector in general are frequently affected by economic cycles. Controlling operational costs is an important part of technology management. In 2010, the US federal government announced a cloud-first policy to manage technology and support costs. The Federal Cloud Computing Strategy, detailed how Cloud computing can improve public sector IT:
– Efficiency improvements will shift resources towards higher-value activities
– Assets will be better utilized
– Demand aggregation will reduce duplication
– Data center consolidation will be accelerated
– IT will be simpler and more productive
– Improved agility will make services more responsive
– Services will be more scalable
– Innovation improvements will rapidly enhance service effectiveness
– Encourage entrepreneurial culture by reducing risk
To learn if Microsoft Azure Government Cloud is right for your engineering please read Burak Yenier‘s Blog HERE.

UberCloud Is Now Your Trusted ANSYS Advanced Solution Partner

April 26, 2018 in UberCloud Voice April 2018

ANSYS UberCloud Partner smallGood news for all our ANSYS customers: Earlier this year ANSYS has upgraded UberCloud from Cloud Hosting Partner to ANSYS Advanced Solution Partner status. This is the highest partner status and delivers a ton of new benefits to customers:
– More licenses for UberCloud development to enhance our ANSYS Cloud offering and give you a better ANSYS-in-the-cloud experience
– More ANSYS trial capabilities that let you evaluate the solution
– ANSYS support for high performance computing and cloud hosting
– A more direct relationship with ANSYS’ business and technical contacts to collaborate on customer requests and unlimited customer support.
– Joint blogs, articles and webinars that make the benefits of ANSYS Cloud more tailored to your industry and specific needs.
Read more in our Blog HERE.

Why Cloud Is Ideal For COMSOL Server™

April 26, 2018 in UberCloud Voice April 2018

COMSOL applWhen COMSOL launched the first version of its Application Builder and COMSOL Server™ at the end of 2014, democratization of CAE was not the buzzword it later became. COMSOL recognized the need early on and set the standard for engineering simulation apps. The Application Builder transforms even the most complex CAE models into user-friendly apps with an intuitive GUI. It wraps and automates even complex workflows. These simulation apps can be made available to other team members, colleagues from different departments, or even to customers. Alexander Gatzemeier from UberCloud explains in his blog how to make these apps with all the sophisticated calculations under the hood available to a broad audience. All without installing any software and accessible from your iPad.

Moving from Workstations to HPC — A Journey Worth Taking

April 26, 2018 in UberCloud Voice April 2018

ANSYS Fluent benchmark smallAs a CAE) analyst, you often push the limits of your desktop computer, constraining the size of your models and limiting the number of the simulations you can perform for any given project.  Moving beyond your desktop to a small HPC cluster is the first important step. Here’s why … The chart on the right side compares simulations times running the ANSYS Fluent 19 standard benchmark aircraft wing 14-million cell model on a single compute, two-processor server (1 node), up to a 72-node cluster configuration. At four nodes, for example, you see a four-times increase in speed. In essence, you could run the same benchmark on a 4-node cluster in 25 percent of the time it takes to run that same benchmark on a single node (or workstation). In his Blog, Tony DeVarco, HPE’s HPC, manufacturing vertical manager, explains how ANSYS, Hewlett Packard Enterprise, and TotalCAE are working together to bring down the barriers preventing the move from workstations to a small cluster either on-premise, or off-premise in the cloud.

Team 200 Case Study – – HPC Cloud Simulation of Neuromodulation in Schizophrenia

April 7, 2018 in UberCloud Voice April 2018

Team 200 -1

Schizophrenia is a serious mental illness characterized by illogical thoughts, bizarre behavior/speech, and delusions or hallucinations. This UberCloud Experiment #200 is based on computer simulations of non-invasive transcranial electro-stimulation of the human brain in schizophrenia. The experiment has been collaboratively performed by the National Institute of Mental Health & Neuro Sciences in India (NIMHANS), Dassault SIMULIA, Advania, and UberCloud, and sponsored by Hewlett Packard Enterprise and Intel. The current work represents an initial effort to demonstrate the high value of computational modeling and simulation in improving the clinical application of non-invasive transcranial electro-stimulation of the human brain in schizophrenia.Download cse Stuy #200 HERE.

Join our UberCloud Experiments: Exploring GROMACS in the Cloud

April 2, 2018 in UberCloud Voice April 2018

Team 89 smallFrom 200 UberCloud experiments we have performed in 2012 – 2018 together with engineers from our UberCloud community in Digital Manufacturing, Life Sciences, Financial Services, and Oil & Gas we have selected 2 case studies from the life sciences, dealing with GROMACS molecular dynamics simulations, namely: Team 61: Molecular Dynamics of the Mutant PI3Kα Protein, and Team 89: Performance Analysis of Molecular Dynamics for Simulating Enzyme Substrate. You can download these two case studies HERE. AND IF YOU ARE INTERESTED IN PERFORMING YOUR OWN – FREE – GROMACS SIMULATIONS IN THE GROMACS CLOUD, then please contact us at https://www.theubercloud.com/help.

Dassault, NIMHANS, and UberCloud Foster Innovative Non-Invasive Neuro-Stimulation of the Brain to Treat Schizophrenia, with High Performance Computing

March 30, 2018 in UberCloud Voice March 2018

Nimhans for Newsletter

In the last six years UberCloud has performed 200 cloud experiments with engineers and scientists and their complex applications. This latest HPC cloud experiment is based on computer simulations of a novel non-invasive transcranial electro-stimulation of the human brain to treat schizophrenia. The experiment has been collaboratively performed by the National Institute of Mental Health & Neuro Sciences in India (NIMHANS), Dassault SIMULIA, Advania, and UberCloud, and generously sponsored by Hewlett Packard Enterprise and Intel. The current work demonstrates the high value of computational modeling and simulation in improving the clinical application of non-invasive transcranial electro-stimulation of the human brain in schizophrenia. This article is an extension of a shorter version which appeared in HPCwire.

Software Licensing to Run ANSYS in the Cloud

March 30, 2018 in UberCloud Voice March 2018

ANSYS UberCloud smallThese days, for many engineers running their simulations in the cloud makes a lot of sense. Armed with the best computing environment including a comfortable desktop GUI and top-notch cloud resources, all you have to do is start running ANSYS Cloud simulations… But, the last piece of the puzzle to consider is how your ANSYS licensing is going to green-light all of these newfound cloud capabilities. In this Blog UberCloud’s David Waltzman looks at several ways to accomplish this with UberCloud: pinging your on-premise ANSYS license server; hosting your ANSYS license server in the cloud; or hosting ANSYS Elastic Units in the cloud. Read more about all three options HERE.

Leveraging the Full Power of CAE in the Cloud

March 30, 2018 in UberCloud Voice March 2018

Team 183 smallIn late 2014 a new revolution for CAE was announced: Democratization of CAE: Leveraging the full power of CAE by capturing the CAE engineers’ knowledge and making it available to a larger group of users – access to powerful CAE for every engineer and designer. More than three years later it is time for an interim review. Over the past few years all major Independent Software Vendors (ISVs) have expanded their portfolio with technology that enables for democratization of CAE, e.g., ANSYS’ recent introduction of ANSYS Discovery Live, Siemens’ Simcenter 3D offering simulation templates and guided workflows, or COMSOL’s Application Builder and COMSOL ServerTM. Not long ago this was wishful thinking, but now the deployment of such applications is now at your fingertips. The ISVs, HPC cloud and service providers have paved the way with modern software, licensing and right infrastructure for HPC in the cloud – enhancing and transforming the CAE workflow as you know it. Read Alexander Gatzemeier‘s UberCloud Blog HERE.

Living Heart Project: Using HPC in the Cloud to Save Lives

March 30, 2018 in UberCloud Voice March 2018

Burak Francisco smallThis talk at the Stanford HPC Conference has been presented jointly by Burak Yenier from UberCloud and Francisco Sahli from Stanford University’s Living Matter Lab. “Cardiac arrhythmia can be a potentially lethal side effect of medications. During this condition, the electrical activity of the heart turns chaotic, decimating its pumping function, thus diminishing the circulation of blood through the body. Before a new drug reaches the market, pharmaceutical companies need to check for the risk of inducing arrhythmias. Currently, this process takes years and involves costly animal and human studies. In this project, Stanford’s Living Matter Lab developed a software tool enabling drug developers to quickly assess the viability of a new compound. This means better and safer drugs to improve patients’ lives.” This video on insideHPC looks at how HPC in the Cloud is being used to prevent severe side effects and save lives.”

Univa Announces Global Partnership & Reseller Agreement with UberCloud

March 27, 2018 in UberCloud Voice March 2018

univa ubercloud smallsmallToday Univa announced a new global partnership and reseller agreement with UberCloud. Under terms of the agreement, UberCloud, a leading HPC cloud provider, will resell Univa Grid Engine™ and related Univa products to UberCloud’s growing community of HPC customers across a range of industries, including manufacturing, life sciences and oil and gas. Read the full announcement on insideHPC HERE.

Team 199: HPC Cloud Performance of Peptide Benchmark Using LAMMPS Molecular Dynamics Package

March 7, 2018 in UberCloud Voice March 2018

Team 199-3

UberCloud Team 199 led by Scott W. Sides, Senior Scientist at Tech-X Research in Boulder, studied adhesion dynamics for surface-tethered chains entangled in a polymer melt, using the molecular dynamics package LAMMPS which is widely used in academia and some industries. LAMMPS has potentials for solid-state materials (metals, semiconductors) and soft matter (biomolecules, polymers) and coarse-grained or mesoscopic systems. It can be used to model atoms or, more generically, as a parallel particle simulator at the atomic, meso, or continuum scale. In a first step of this cloud experiment the LAMMPS code has been ‘containerized’, and then the simulations have been performed on up to eight 16-core high-performance computing nodes and scalability studied in the Amazon AWS Cloud. You can download this case study HERE.

The Coming Intersection of HPC, Cloud HPC, and the Enterprise Data Center

February 24, 2018 in UberCloud Voice February 2018

Forbes articleHigh Performance Computing (HPC) traditionally exists as a separate and distinct discipline from enterprise data center computing. Both use the same basic components—servers, networks, storage arrays—but are optimized for different types of applications. Those within the data center are largely transaction-oriented while HPC applications crunch numbers and high volumes of data. However, an intersection is emerging, driven more recently by business-oriented analytics that now falls under the general category of Artificial intelligence (AI). Business is now about digital transformation. In the minds of many IT executives, this typically means delivering cloud-like business agility to its user groups—transform, digitize, become more agile. And it is often the case that separate, distinctly new cloud computing environments are stood-up alongside traditional IT to accomplish this. Transformational IT can now benefit from a shot of HPC. Read this FORBES article from industry analyst John Webster HERE.

Virtualization And HPC

February 22, 2018 in UberCloud Voice February 2018

Stanford HPC 2018 small

In this Blog, Thomas Francis from UberCloud, elaborates on the pros and cons of virtualization for high performance computing (HPC). We still have the old wisdom in mind that virtualization consumes so much performance in HPC that it is basically useless. But things have changes. Inspired by a presentation from VMware’s Mohan Potheri at this week’s Stanford HPC Conference, Thomas discusses underlying technology such as Device Partitioning and RDMA. Device partitioning includes Single Root I/O Virtualization (SR-IOV) which is a PCI standard to virtualize the I/O path from the server to a peripheral device. RDMA is a memory access protocol that lets you directly share the contents of memory between two computers, bypassing both operating systems and the traditional network stack. Read Thomas’ blog HERE.

David Waltzman about Life After CAD

February 21, 2018 in UberCloud Voice February 2018

David Waltzman small

Designers and engineers spend a lot of time drawing beautiful 3D models of products. The benefits of having a 3D model are numerous. It can be sent into CAM (Computer Aided Machining) software so that the part can be cut on a CNC mill or lathe. It can be sent to a rendering engine to produce photorealistic images for design reviews or marketing materials. Most recently, it can be sent to a 3D printer so that the product team can touch and feel the design before it is sent to manufacturing. Additionally, and most importantly, 3D models can be the input for CAE (Computer Aided Engineering) software. These packages take in your 3D geometry and apply the harshness of real world operating conditions. Many different types of physics can be applied to your model from static forces and pressures to transient thermal loads from solar radiation. You can read this article from UberCloud’s David Waltzman on LinkedIn.

Why Cloud Technology is Driving the New Automotive Era

February 21, 2018 in UberCloud Voice February 2018


Over the years, technological advancements in how cars are designed and manufactured have affected the automotive market. One such change is cloud-enabled platforms that are transforming how business is done, eliciting greater collaboration and integration within companies—and more interactive experiences with consumers. The worldwide public cloud services market revenue is projected to grow 18.5% in 2017 to total $260.2 billion, up from $219.6 billion in 2016, according to Gartner. Cloud-based technology is empowering start-ups to compete with legacy automakers, forcing traditional companies to adopt new business models to survive. Couple that with the fact that the cloud allows business to scale and maneuver quickly, and you have a catalyst that transforms how vehicles are being brought to market. Read Michael LaLande’s article in Desktop Engineering.

CAASE18: The Conference on Advancing Analysis & Simulation in Engineering in June in Cleveland

February 21, 2018 in UberCloud Voice February 2018

CAASE 2018 smallNAFEMS Americas and Digital Engineering (DE) are teaming up to present CAASE18, the Conference on Advancing Analysis & Simulation in Engineering, June 5-7,  2018 in Cleveland. CAASE18 will bring together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, to share experiences, discuss relevant trends, discover common themes, and explore future issues, including: What is the future for engineering analysis and simulation? Where will it lead us in the next decade? How can designers and engineers realize its full potential? And what are the business, technological, and human enablers that will take past successful developments to new levels in the next ten years?

ANSYS Launches Discovery Live

February 21, 2018 in UberCloud Voice February 2018

ANSYS Discovery Live smallWith ANSYS’ launch this month of ANSYS Discovery Live, one of the biggest names in simulation takes a big step in the push to democratize simulation. Late last year, ANSYS unveiled ANSYS Discovery Live, billed as “real-time simulation for rapid product exploration.” Following the announcement, the company made the early version available for test drive. This month marks the product’s commercial launch. Though ANSYS products are usually associated with expert users, ANSYS Discovery Live takes a dramatic departure, by simplifying simulation and analysis to a series of simple steps. The approach marks ANSYS Discovery Live as a product aimed at designers — a much wider user pool than traditional simulation users. The speed and ease of use in Discovery Live comes from two features: (1) SpaceClaim’s direct-editing technology; (2) NVIDIA GPU-driven parallel processing. Read this article in Digital Engineering.

UberCloud Experiment Team 198: Kaplan turbine flow simulation using OpenFOAM in the Advania Cloud

February 5, 2018 in UberCloud Voice February 2018

Kaplan 200This UberCloud Experiment #198 from end-user Martin Kantor from GROFFENG deals with an application in the hydropower and renewable energy sector. There are still many opportunities with usable hydro potential: existing hydropower plants with old obsolete turbines, new hydropower plants at an existing weir, or new hydropower plants for new locations. Kaplan water turbines are used for locations with small head. The flow simulation inside the turbine is calculated using the Turbomachinery CFD module from CFD Support for OpenFOAM. The flow simulation and its analysis are important for verification of turbine energy parameters, turbine shape optimization and turbine geometry changes. You can download this case study HERE.

International Advanced Research Workshop on High Performance Computing, Cetraro, Italy, July 2 – 6, 2018

February 4, 2018 in UberCloud Voice February 2018

CetraroJoin UberCloud at the 14th edition of a well-established biennial International Conference on High Performance Computing, one of the leading events in the field for the finest reputation of the Invited Speakers from Asia, Europe and America. In the five-day meeting, the most advanced topics will be discussed by speakers from academia, and Industry, and research. The workshop’s edition 2018 “High Performance Computing – From Clouds and Big Data to Exascale and Beyond” is announced here http://www.hpcc.unical.it/hpc2018 with information on the workshop’s AIM and SCOPE, on the PROGRAMME, on the APPLICATION and ACCOMODATION FORMS, and for details about the place of the meeting. The information will be updated frequently. For additional information please contact [email protected].

Cloud Cost – How Are Cloud Resources Metered?

January 28, 2018 in UberCloud Voice January 2018

electric-meters small

One of the most common questions asked by folks who are starting their cloud exploration is, “how is all this billed”? The answers can range from simple to mind-numbingly complex. Why the lack of standardization? Because there are multiple clouds, and because each cloud is designed to extremely flexible leading to an explosion in options. The economics as well as the buying behaviors in the cloud are quite different. Cloud is characterized by a) On-demand and b) Metered. Read more in this UberCloud blog from Thomas Francis HERE.

Top 10 Cloud Technology Investments, for the next 5 years, and Hybrid Cloud is growing the fastest

January 27, 2018 in UberCloud Voice January 2018

Top 10 cloud trends smallCloud adoption is increasing rapidly by enterprises due to various factors such as the need for agility, on-demand scalability, flexibility, and cost effectiveness. The cloud offers pay-as-you-go service for users, which helps in reducing costs to a great extent. Cloud users are provided with Disaster recovery and security services, which makes it a reliable and secure source for data storage and management. A detailed analysis of Top 10 cloud technologies has been covered by Markets & Markets Research which will be helpful for players as well as end users: And, no surprise, Hybrid Cloud is the top most technology trending with higher revenue returns. The hybrid cloud market is expected to have the largest market size, growing from USD 33.28 Billion in 2016 to USD 91.74 Billion by 2021, at a CAGR of 22.5%. Read more details HERE

Hybrid HPC – The next step towards a more flexible and agile High-Performance Computing Infrastructure

January 27, 2018 in UberCloud Voice January 2018

HPE HPC small

This HPCwire article by Bill Mannel, HPE’s VP & GM for HPC Solutions describes the benefits and trend towards Hybrid HPC, HPE’s next-generation HPC hardware/software stack including on-premise resources seamlessly integrating additional on-demand public cloud resources from HPE cloud partners. While HPC is one of the fastest growing IT segments, many organizations lack the vital tools and expertise to operate a traditional HPC environment. For these organizations, the question is how to dramatically simplify their infrastructure and reduce costs, without compromising on performance. Hybrid HPC is the new reality for those looking to evolve and compete in the digital age. Migrating to a hybrid infrastructure allows organizations to seamlessly tap into existing on-premises resources as well as scale resources on-demand in the cloud.

Insurance Solutions Company Munich Re in the Cloud: The most innovative analysis of weather risks

January 27, 2018 in UberCloud Voice January 2018

Munich RE smallFor a long time Munich Re has been using analytical models that can calculate weather risks with an unbelievably large number of parameters. But it is only now that the computing power is available to analyze these large amounts of data in a comprehensive and deep way. The cloud provides a new impetus for risk assessment and climate research. You have to understand natural disasters to be able to help affected people quickly and effectively. Therefore, among other things Munich Re has been dealing with climate change for more than 40 years. “We already stated in a publication on floods in 1973 that climate change could alter the risks of natural disasters”, says Ernst Rauch, Chief Climate and Geo Scientist at Munich Re. Read this article about how the Azure Cloud was a breakthrough in weather and climate data analysis for Munich Re.

Dassault: Companies are harnessing the public cloud as a critical enabler for competitive business

January 4, 2018 in UberCloud Voice January 2018

Cloud TrendThe new Dassault Compass Magazine looks at cloud: Faster time to market, lower costs and closer connections with partners and customers – the cloud brings these benefits and more to businesses of all sizes. But all clouds are not equal, and organizations that have tried both on-premise and private cloud models are moving to gain advantages that only the public cloud can deliver. “Companies that have made the move to cloud are achieving measurable improvements in cost, quality and business agility, and the number-one benefit that many leaders saw from adopting cloud was time to market.” Read the cover story HERE.

Supercomputing for Engineers . . . Finally!

January 2, 2018 in UberCloud Voice January 2018

supercomputer smallWe have all heard of supercomputing. Most of the press today goes to applications such as machine learning (ML), artificial intelligence (AI), and big data. It also makes sense that traditional onsite data centers are giving way to the cloud for crunching all the numbers. The benefits are clear and well understood: no purchase of hardware, no IT professionals to maintain the hardware, no physical building to house hardware, no energy costs to run the hardware, etc… There is one industry though that I feel has not been able to reap the benefits of this shift in access to computing. It is especially odd because this group is composed of technologists creating the next generation of products. That’s right folks, I am talking about engineers. Read more in David Waltzman’s article on LinkedIn HERE.

Cloud HPC Benefits Go Beyond Cost Savings

January 1, 2018 in UberCloud Voice January 2018

Dollar bundleThe enterprise CIO’s world has changed. They are being asked:  “What is our Cloud strategy?”  There are three reasons why CIO’s are on the receiving end of this tough question:

1) Everyone, including your company’s CFO is now using Cloud for her personal music collection. She’s done the math, she’s seen the ease-of-use.
2) Product development cycles are shrinking due to competition. Waiting for compute time to become available feels so old-school.
3) GPU’s, FPGA’s, faster network interconnects are too hard for the IT team to catch up with. Cloud providers take these novel technologies out of the IT team’s ever expanding To-Do list and put it in the hands of the users.

Read this blog from UberCloud’s Burak Yenier HERE.

The UberCloud Team wishes You a Peaceful, Happy, Healthy, and Successful New Year

December 30, 2017 in UberCloud Voice December 2017

UberCloud Happy New Year

Amazon rules the public cloud, but Google, Microsoft, Alibaba are growing faster

December 30, 2017 in UberCloud Voice December 2017

AWS3Jefferies analyst John DiFucci introduced a quarterly snapshot of public cloud services, and found that 7 large cloud-service providers are taking in about 86% of the revenue for public cloud services. For the infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) segments, those seven companies, in order of booked revenue, are Amazon AWS, Microsoft, IBM, Alphabet (Google), Alibaba, Salesforce.com, and Oracle. DiFucci based his rankings on annualized revenue based on the company’s last quarterly report and compared that to 2017 estimates from research and advisory company Gartner. Of the seven companies, DiFucci said they generated $35.8 billion in IaaS/PaaS revenue, representing 54% year-over-year growth, compared with the $41.8 billion estimated market in 2017 by Gartner. The gist of this story is that while AWS is the cloud leader, if you factor in IaaS, PaaS and SaaS then Microsoft has the largest share at 31%. Read Wallace Witkowski’s MarketWatch article HERE.

Missed SC’17 in Denver? Read Univa’s Top 5 for SC’17

December 30, 2017 in UberCloud Voice December 2017

If you missed the SC’17 conference and exhibition this year in Denver, and you are interested in seamless hybrid workload management across on-premise and public cloud resources, then we recommend reading Ian Lumb’s “Top Five”. Ian, who is Univa’s Solutions Architect, reflects on Univa’s ongoing success in the workload management space and their recent focus on Cloud HPC: “Speaking of HPC-in-the-cloud and adding in containers, it’s difficult to arrive at a more-compelling demonstration than that achieved through our collaboration with UberCloud“. He also mentioned several recent updates on Univa Grid Engine technology, and touched on their SC’17 booth highlight, the PINK F1 car which you can admire at their HPCwire video.Univa at SC17

Bill Mannel, HPE: The Living Heart Project Wins Three Prestigious Awards for Stanford’s HPC Cloud Simulations

December 30, 2017 in UberCloud Voice December 2017

Living Heart Project-logo-Gen1-gif-180x140Bill Mannel, VP & GM, HPC Segment Solutions and Apollo Servers, Data Center Infrastructure Group, and AI at Hewlett Packard Enterprise, writes in his HPCwire article from December 20: “Operations like the Living Heart Project are uniting industry-leading researchers, doctors, educators, and technology manufacturers to reach a higher standard for personalized medicine. Leveraging advanced modeling and simulation capabilities, the Living Heart Project has developed highly accurate, validated models of the human heart which can be personalized by patients’ unique traits and conditions. The Living Heart Project is a growing ecosystem that is fueling the collaborative development of commercially available heart models and exploring novel digital therapies. Read more about the Living Heart Project and Stanford University’s cloud computing study on potentially lethal side effects of drugs—such as heart arrhythmias, in Bill Mannel’s article HERE.

UberCloud Case Study: Prediction of Barehull Resistance Curve of a Day-Cruise Ship in the Cloud

December 5, 2017 in UberCloud Voice December 2017

Team 188 minThis case study is about calculating the barehull resistance of a day-cruise ship in the cloud with a standard hull form used as a benchmark for computational fluid dynamics in the marine industry.  Hull form parameters and experimental results are available and owned by CCTO.  The purpose of this project was to become familiar with the mechanics of running a NUMECA FINE/Marine simulation in an UberCloud container and to assess the performance of the cloud compared to resources currently used by the end-user.  The benchmark was analyzed on local hardware, on virtual instances in the cloud, and on the bare-metal cloud solution offered by CPU 24/7 and UberCloud. Read the case study on the Numeca website.

Microsoft Spins Cycle Computing into Core Azure Product

December 5, 2017 in UberCloud Voice December 2017

Cycle MicrosoftLast August, cloud giant Microsoft acquired HPC cloud orchestration pioneer Cycle Computing. Since then the focus has been on integrating Cycle’s organization, mapping out its new role as a core Microsoft Azure product, and deciding what to do with those Cycle customers who currently use non-Azure cloud providers. At SC17, HPCwire caught up with Brett Tanzer, head of Microsoft Azure Specialized Compute Group (ASCG, which used to be Big Compute) in which Cycle now lives, and Tim Carroll, formerly Cycle VP of sales and ecosystem development and now a ‘principal’ in ASCG, for a snapshot of emerging plans for Cycle. Read the HPCwire article HERE.

Drug-induced Arrhythmia of a Human Heart in the Cloud – Case Study Now Available

November 30, 2017 in UberCloud Voice November 2017

Quindine1The Living Heart Project is uniting leading cardiovascular researchers, educators, medical device developers, regulatory agencies, and practicing cardiologists around the world on a shared mission to develop and validate highly accurate personalized digital human heart models. These models will establish a unified foundation for cardiovascular in silico medicine and serve as a common technology base for education and training, medical device design, testing, clinical diagnosis and regulatory science. This cloud experiment #197 has been collaboratively performed by Stanford University, SIMULIA, Advania, UberCloud, and sponsored by Hewlett Packard Enterprise and Intel. It is based on the development of a Living Heart Model that encompasses advanced electrophysiological modelling. The goal is to create a biventricular finite element model to study drug-induced arrhythmias of a human heart. You can download the final case study HERE.

ANSYS Discovery Live – Every engineer deserves the power of Discovery

November 30, 2017 in UberCloud Voice November 2017

ANSYS Discovery LiveANSYS just announced an amazing breakthrough: ANSYS Discovery Live. This software provides instantaneous simulation, tightly coupled with direct geometry modeling, to enable interactive design exploration and rapid product innovation. It is an interactive experience in which you can manipulate geometry, materials and physics, and instantaneously see 3-D results, currently available for download as a technology preview, later also available in the cloud. Discovery Live unleashes the power of NVIDIA GPUs and CUDA parallel computing to make the first ever real-time design environment with simultaneous visualization and simulation possible. Read more details HERE and watch the Youtube Video.

Cloud for Confident Engineers

November 30, 2017 in UberCloud Voice November 2017

Cloud for EngineersGiven the recent improvements in cloud computing, it has never been easier to be fully confident as a simulation engineer. Never. Best of all it doesn’t require you to go back to engineering school, work 12 hours a day, or have a million dollar budget. It doesn’t require your IT department to buy a supercomputer. It is a rather simple matter when one clears up all the misconceptions about Cloud computing. In fact, if you don’t feel confident enough about your simulation results, it likely has nothing to do with your skills as an engineer. Given how potentially under-powered your current computing environment might be, how long the wait times are, it’s a wonder you are able to produce meaningful results, much less be fully confident about them. If the barrage of techno-jargon about Cloud computing has left you confused, take a deep breath and relax. In his blog post, Burak Yenier from UberCloud clears up three main misconceptions: #1: The main value of Cloud is reducing the cost of compute by the hour; #2: All Clouds are equal; and  #3: Everything will be new in Cloud. Read Burak’s blog HERE

Stanford Living Heart Project wins prestigious awards from Intel, HPCwire, and Hyperion for Cloud HPC

November 28, 2017 in UberCloud Voice November 2017

HPCwire Award 2017 smallDuring SC’17, the 30th International Conference for High Performance Computing, Networking, Storage and Analysis in Denver, in November, UberCloud received three awards for Cloud HPC on behalf of the Stanford Living Heart Project. It started at the preceding Intel HPC Developer Conference when the Living Heart Project (LHP), presented by Burak Yenier from UberCloud, won a best paper award. During SC’17 on Monday, the Stanford LHP Team received the HPCwire Editors’ Choice Award for Best Use of HPC in the Cloud. And finally, on Tuesday, the team won the Hyperion (former IDC) Award for Innovation Excellence, elected by the HPC User Forum Steering Committee. Read the UberCloud Blog HERE.

UberCloud wins best paper award at the 2017 Intel Developer Conference

November 18, 2017 in UberCloud Voice November 2017

High cost 1At this year’s Intel® HPC Developer Conference in Denver, CO November 11-12, 2017. UberCloud received a Best Paper Award for Burak Yenier’s presentation for our joint work with Stanford University, Dassault SIMULIA, and Advania, sponsored by HPE and Intel, about the Living Heart Project to studying drug-induced arrhythmias of a human heart with Abaqus 2017 in the Cloud. The conference featured industry luminaries sharing best practices and techniques to help realize the potential of new technologies. Attendees gained hands-on experience with Intel platforms, network with peers and industry experts, and gained insight on recent technology advances to maximize software efficiency that help drive discovery. See Burak’s slides HERE.

How you can avoid high costs in the cloud?

October 31, 2017 in UberCloud Voice November 2017

cloud cost

Instead of having to purchase hardware and hire in-house employees to manage them, you’re paying a cloud service provider to handle your software management, storage, and data transfer costs. Unfortunately, what cloud users often fail to take into account are the high costs associated with the convenience of using cloud services. But that’s all about to change.Thanks to recent advancements in transparency, navigating the cloud has gotten a bit less foggy. Microsoft announced at their annual Ignite conference that they acknowledge this is a problem, and they will be the ones to change that problem. With their recent acquisition of the Israeli company Cloudyn now they can help enterprises and managed service providers to optimize their investments in cloud services, This article describes ways how to optimize cloud service usage and costs via automated monitoring, analytics, and cost allocation.

Chevron Partners with Microsoft to Fuel Digital Transformation from the Reservoir to the Retail Pump

October 31, 2017 in UberCloud Voice October 2017

ChevronChevron Corporation (NYSE: CVX) today announced a seven-year partnership with Microsoft Corp. establishing the company as Chevron’s primary cloud provider, accelerating the application of advanced technologies including analytics and the Internet of Things (IoT) to drive performance and improve efficiencies. “We embrace every opportunity that streamlines our workflows, gives us insights into more efficient operations and helps us compete,” said Joe Geagea, Chevron’s executive vice president of Technology, Projects and Services. “We already have a head start in digitizing our oilfields, but we want to accelerate our deployment of new technologies that position us to increase our revenues, lower our costs, and improve the safety and reliability of our operations.” The Microsoft strategic partnership is part of Chevron’s overall digitization initiative, a multi-year effort to streamline information technology (IT) operations around a digital core connecting the company’s engineers and operations through nimble analytics and increased automation. Adoption of Microsoft’s Azure platform will allow Chevron’s IT workforce to evolve from supporting infrastructure to one that enables more advanced technologies, as well as optimize exploration, reservoir management, production operations, midstream logistics and marketing operations. Read the whole Chevron announcement HERE.

Cray and Microsoft bring supercomputing to the Cloud

October 31, 2017 in UberCloud Voice October 2017

CrayCray has announced an exclusive strategic alliance with Microsoft to offer dedicated Cray supercomputing systems in Microsoft Azure datacentres. This partnership will enable customers to run AI, advanced analytics, and modelling and simulation workloads at unprecedented scale while connected to the Azure cloud. With this new partnership, Cray and Microsoft have made it easier for cloud customers to harness the power of supercomputing and multiply their problem-solving potential. Cray and Microsoft will also bring these advantages to a new set of customers who were previously unable to purchase or maintain an on-premise Cray system. “Our partnership with Microsoft will introduce Cray supercomputers to a whole new class of customers that need the most advanced computing resources to expand their problem-solving capabilities, but want this new capability available to them in the cloud,” said Peter Ungaro, president and CEO of Cray. Read this Scientific Computing story HERE. And read also the interesting article about Supercomputers in the Cloud Erode another Case for Owning Data Centers in DataCenter Knowledge.

AWS and Azure revenues soar, and why supercomputing could be the next big opportunity in the cloud

October 31, 2017 in UberCloud Voice October 2017

insideHPC HPC CloudIt’s earnings day, and we are curious how the GIANTS are growing. Short answer is: very fast: “Amazon Web Services crosses $1B in operating profit as revenue jumps 42 percent to $4.6B” and “Microsoft hits its $20 billion commercial cloud revenue run-rate goal ahead of schedule“, reports GeekWire. The author is also looking into predicting where future revenue will come from, especially in areas that aren’t mentioned every day. Yes, server-less, cloud-native and AI workloads will certainly be money-makers in the coming years. But so will a lot of workloads that previously spent their lives inside banks, national labs and even some three-letter agencies. For example, Microsoft and Cray announced a partnership wherein supercomputer users will be able to host Cray systems inside Azure data centers. Now it looks like those workloads could go to the cloud, as mentioned HERE.

Dassault Systèmes’ Living Heart Now Available in the Cloud – Project Reaches Next Milestones in Mission to Improve Patient Care

October 31, 2017 in UberCloud Voice October 2017

Quindine1For the first time, the Living Heart was used to simulate detailed drug interactions affecting the entire organ function. Researchers at Stanford University working with UberCloud, SIMULIA, Advania, and HPE recently used the Living Heart as a platform for a model that would enable pharmaceutical companies to test drugs for the risk of inducing cardiac arrhythmias, the leading negative side effect preventing FDA approval. “The Living Heart Project is a strategic part of a broader effort by Dassault Systèmes to leverage its advanced simulation applications to push the boundaries of science,” said Jean Colombel, Vice President Life Sciences, Dassault Systèmes.  “By creating both a community and a transformational platform we are beginning to see the advances from the Living Heart Project being used for additional aspects of cardiovascular research as well as for other parts of the body, for example the brain, the spine, the foot, and the eye, to reach new frontiers in patient care.” Read Dassault’s announcement HERE.

Accenture survey finds Cloud and HPC among the trends having the greatest potential to transform the businesses of oil companies in the next 3 – 5 years

October 31, 2017 in UberCloud Voice October 2017

Oil1As per the Accenture and Microsoft 2017 Upstream Oil and Gas Digital Trends Survey, when asked to identify the top ways digital benefits their companies, 30% said faster and better decision-making, faster time to produce oil and gas, came in second place with 19%, and reduced risk enabled by real-time decision support was the third most important with 12%. The global survey showed the upstream areas most expected to benefit today from digital are production with 28%, geological and geophysical 27%, and drilling and completion with 19%. Almost two-thirds of more than 300 professionals surveyed, or 62% perceive business value from digital technologies, with 27% totalling it at $50 million to $100 million or more for their companies. Read a summary of the survey HERE.

New book on Cloud Computing for Science and Engineering

October 30, 2017 in UberCloud Voice November 2017

Cloud Foster GannonClouds operated by Amazon, Microsoft, Google, and others provide convenient on-demand access to storage and computing. They also provide powerful services for organizing data, processing data streams, machine learning, and many other tasks. Every scientist and engineer needs to understand what these services can and cannot do, and what the emergence of cloud means for their work. This book written by Ian Foster and Dennis Gannon addresses that need, describing cloud computing and how you may apply it to advantage in science and engineering. It is highly practical, with many hands-on examples of how to use cloud to address specific problems that arise in technical computing. It provides actionable advice on how and when to apply cloud computing in your work. The book has been published by MIT Press, and he full text is also available online, along with associated Jupyter notebooks and other supporting material.

The agenda for the NUMECA User Meeting 2017 is out!

October 1, 2017 in UberCloud Voice October 2017

Numeca-201UberCloud is sponsor of NUMECA’s 2017 User Meeting in Brussels November 13 – 15. The central theme of this year’s User Meeting is Virtual Prototyping – Ensuring reliability of your simulations”. Learn about the latest advancements and trends in CFD. Gain insights on how NUMECA’s CFD simulation tools can further help you reduce engineering time and come up with better designs at an affordable cost. Listen how key industry leaders take advantage of NUMECA solutions in their design process. Meet with our developers and engineering team to discuss your needs and the future directions of NUMECA software solutions. And Network with other professionals in your industry. Visit the Blog & Registration Page.

Please Vote for UberCloud-Stanford-Dassault-Advania-HPE for HPCwire 2017 Reader’s Choice Awards

September 29, 2017 in UberCloud Voice September 2017

Dear Colleague,  the final Call for Voting for the HPCwire Reader’s Choice Award is out, and the Deadline is October 1st. The  Stanford-UberCloud-Dassault-Advania-HPE Team – generously sponsored by Hewlett Packard Enterprise – achieved a breakthrough in Living Heart Simulations, please read details in the exciting HPCwire Top Feature article. During the previous nomination process, UberCloud & Team have been nominated by our community (Thank You!) for the following 5 categories:HPCwireRCA200x110
– Best Use of HPC in Life Sciences
– Best Use of HPC in the Cloud
– Best HPC Collaboration (Academia/Government/Industry)
– Top HPC-Enabled Scientific Achievements
– Outstanding Leadership in HPC – Wolfgang Gentzsch (nominated by HPE)
Please vote now  for UberCloud & the Living Heart Project Team in all these 5 categories HERE. It takes just 1 minute! Thank you very much for your support!  BTW:  You are allowed to vote if you are an HPCwire subscriber. If you are not yet an HPCwire subscriber, please register  HERE,  it’s free (don’t forget to un-check the other boxes). You can unsubscribe later again at any time.  Thanks and kind regards,  Your Team Members from Stanford, Dassault/Simulia, Advania, Hewlett Packard Enterprise, and UberCloud.

Stanford University and UberCloud Achieve Breakthrough in Living Heart Simulations

September 27, 2017 in UberCloud Voice September 2017

Living Heart Project-logo-Gen1-gif-180x140Before a drug reaches the market, pharma companies need to check for the risk of inducing cardiac arrhythmia. Currently, this process takes years and involves costly animal and human studies. The Living Matter Laboratory of Stanford University developed an extended living heart software tool enabling drug developers to quickly assess the viability of a new compound. This means better and safer drugs reaching the market to improve patients’ lives. Supported by UberCloud, Dassault, Hewlett Packard Enterprise (Sponsor), and Advania, the Stanford team was able to perform extensive simulations in the Cloud. Based on the Abaqus 2017 software the computational model is now able to assess the response of new drug compounds rapidly and inexpensively. However, the creation of a suitable model requires taking a multi-scale approach that is computationally expensive: the electrical activity of cells is modeled in high detail and resolved simultaneously in the entire heart. Read about these achievements in detail in the HPCwire article.

ANSYS in Action – HPC in the Cloud – With ANSYS Cloud Hosting Partners like UberCloud

September 27, 2017 in UberCloud Voice September 2017

ANSYS 200x130High-performance computing (HPC) enables you to solve more problems — and larger problems — faster than ever. Unfortunately, not every engineer has access to HPC resources. ANSYS Enterprise Cloud addresses this shortcoming by providing a virtual simulation data center. Attend this 20-minute WEBINAR to see how easy it is to start using ANSYS on the cloud for high-performance computing. Another interesting ANSYS WEBINAR is about HPC – From Desktop to Cloud. In the past, high-performance computing (HPC) was primarily associated with supercomputers. Today HPC can work at many scales, from desktop to cluster to cloud computing resources. Nevertheless, many misconceptions still surround HPC, preventing its deployment in product development scenarios where it could clearly provide great value. Learn how ANSYS 17.0 updates can make HPC easier and more powerful to use than ever before. You will gain insight to help you steer around possible failure points as you consider using HPC, whether you own the computer hardware or employ cloud solutions.

How Do You Feel About CAD Software Moving to the Cloud?

September 27, 2017 in UberCloud Voice September 2017

CAD in the Cloud smallWhen Autodesk announced that it would be moving some of its major software products to the cloud in 2015, a reactionary backlash began from some of the more vocal content creators who use their software on a regular basis. The transition from perpetual licenses to subscriptions was justified by the company in order to make recurring payments more predictable, to increase the rate of new users signing up and to decrease piracy by using cloud subscription verification processes. Fastforward to today, and every CAD vendor now has plans for the cloud. We’ve seen the rise of Onshape, a CAD program that runs completely within your browser, making it an extremely powerful mobile CAD platform. Autodesk has consistently developed Fusion 360, though it is only partially cloud based, requiring a relatively sophisticated GPU and part of your workstation’s hard drive. Read this article from Andrew Wheeler in Engineering.com.

CAD in the Cloud – Market Trends 2017

September 27, 2017 in UberCloud Voice September 2017

CAD Market 2017Jon Peddie Research (JPR) and Business Advantage Group (BA) are making available their collaborative report on CAD in the Cloud: The CiC Market Trends 2017 report. CAD/CAM/CAE users are in the early stages of cloud-based workflow adoption. This report delivers a view of rapidly-emerging trends in this market, such as current and future usage plans, management and infrastructure approaches, hardware considerations, benefit perception vs. reality, and perceptions on importance of the technology, enablers and inhibitors and awareness of leading vendors. Read the full article in Digital Engineering.

SimScale Hits the 100,000 Users Mark

September 27, 2017 in UberCloud Voice September 2017

Simscale for June 2017Five years after it’s launch, SimScale announced that their engineering cloud platform has reached 100 000 users. In 2013, the company was launching the world’s first cloud-based simulation platform, making a big step towards democratization of the engineering simulation. Their goal was to enable every engineering to design better products faster. To get closer to that goal, in 2015, the company has announced the launch of its Community Plan, which grants free access to the full functionality of the platform to any user willing to share his projects publicly. According to SimScale, this decision was an important enabler of reaching the 100 000 users milestone. The SimScale community library now consists of over 1,000 high quality, publicly available simulation projects, which can be used for free as templates when working on an individual simulation setup. Read more details in this HPCwire article HERE.

Better ANSYS Product Design Using Virtual Reality

September 11, 2017 in Uncategorized

Better ANSYS Product Design Using Virtual Reality

Virtual Reality offers a new, yet natural way to interact with information. I had a chance to observe the potential during a recent Lunch & Learn event hosted by iQ3, Ozen Engineering and UberCloud.
When I put the Oculus virtual reality headset on, I saw the body of a virtual airplane, flying in a giant wind tunnel. The structure’s surfaces were fluorescent ranging from yellow to bright red. The colors indicating the air pressure at each virtual spot. I used a mini joystick to dive under the aircraft and felt I was ducking to avoid hitting my head on the giant wing. Turning my head to my right to look at the tip of the wing, I could see the stream lines. These show the flow path of the air below the wing and how the wing surface deflects the flow as the wing cuts through air during flight.
ANSYS computational fluid dynamics software produced the data and iQ3’s software rendered it on the Oculus Virtual Reality headset. Considering the alternative way of observing this information requires sticking an aircraft model in a special, physical wind tunnel, I can appreciate the time and cost savings involved. I believe the real breakthrough results will come from being able to adjust the digital model, letting ANSYS simulation software figure out how this impacts the variables that I care about, like pressure, and see the changes, within the same work day.
Ali Merchant, founder of iQ3, explained the use cases range from medical devices to automotive and civil engineering. The equipment required for this demonstration was all off-the-shelf and powered by a standard gaming PC. This makes the investment required for this capability quite reasonable. The required heavy data crunching and storage takes place in the Cloud.
The lunch and learn hosted by UberCloud at the Plug and Play Technology Center in Silicon Valley. It gave the attendees a chance to see how engineers use Cloud computing, pervasive simulation and virtual reality technologies together. Engineers can now experience the effects of their design decisions. We will all enjoy the benefits of faster, cheaper and better products.

Team 196: An UberCloud Experiment for the Living Heart Project

August 21, 2017 in UberCloud Voice August 2017

LHPTeam 196 cloud experiment and case study about “Development and Calibration of Cardiac Simulator to Study Drug Toxicity” was collaboratively performed by Stanford University, SIMULIA, and UberCloud, hosted in an UberCloud software container on the Advania Cloud in Iceland, and sponsored generously by Hewlett Packard Enterprise. It is related to the development of a Living Heart Model (LHM) that encompasses advanced electrophysiological modeling. The end goal is to create a bi-ventricular finite element model to be used to study drug-induced arrhythmogenic risk. A computational model that is able to assess the response of new compounds rapidly and inexpensively is of great interest for pharmaceutical companies. Such tool would increase the number of successful drugs that reach the market, while decreasing its cost and time to develop. The case study can be found HERE.

Would you like to regularly receive this free quarterly Azure Newsletter from UberCloud ?

August 19, 2017 in UberCloud's Microsoft Azure Quarterly Newsletter - Q3 / 2018

UberCloudLogoJoin our UberCloud/Microsoft community for this free quarterly newsletter, read compelling Azure HPC related feature stories in engineering & science in the cloud, get informed about the progress with our UberCloud Application Software Containers, our regular free webinars presenting hot topics in engineering and scientific computing, closely follow our UberCloud Experiment teams focusing on Azure, their progress, and their case studies. Just request your quarterly UberCloud/Azure HPC Newsletter from Wolfgang.Gentzsch at TheUberCloud dot com. You can unsubscribe any time.

New 451 Research Report: Buoyed by Docker, UberCloud’s HPC application containers are taking off

August 13, 2017 in UberCloud Voice August 2017

As the so-called HPC cloud market accelerates, UberCloud aims to make it easy for engineers to run data- and compute-intensive simulations in the cloud.” The 5-page report presents analysis about the history and the current status of UberCloud, its products and services, the business model, and the competition. The report concludes with a SWOT Analysis (Strengths, Weaknesses, Opportunities, and Threads.This report is available to 451 subscribers and can be downloaded HERE.

Will the cloud steal my job?

August 8, 2017 in UberCloud Voice August 2017

Rosemary 200In this special guest feature of insideHPC, Rosemary Francis from Ellexus describes why the HPC Community has little to fear from the rise of Cloud Computing. As HPC moves to the cloud should I be worried about my job? This is a question we often hear from HPC cluster managers and system administrators. In general the answer is: No. “On the surface, it is a fair question. Moving storage from in-house to an external body could be viewed as taking work out of the company. It is a common misconception about the move from in-house compute systems to the cloud that once the compute moves off-prem there will be nothing to manage.” In fact, the opposite is true. It is common for administrators to manage HPC clusters that are in a different building or even a different country; why do we think it’s going to be any different with the cloud? A cloud infrastructure needs just as much management as in-house infrastructure, perhaps more.

Cloud computing guide for researchers – Real HPC with linear scaling on thousands of cores

August 1, 2017 in UberCloud Voice August 2017

ANSYS on AzureIf you need to run lots of computations, either as a large supercomputer simulation, or hundreds of smaller runs for a parameter sweep calculation, cloud computing can really help speed up your research. An HPC Cloud can scale to thousands of compute cores using Message Passing Interface (MPI) due to HPC-optimised, InfiniBand-enabled virtual machines (VMs). The availability of essentially limitless compute capabilities, on-demand, means that you can achieve more, in less time. No need to queue for your job to run, have your job priority lowered because you’ve run too many jobs, or compete with other users on a shared system. You also have full flexibility to install any software you like, without having to wait for someone else to do it for you. You can do real HPC in the public cloud today. Read this interesting blog from Dr. Kenji Takeda at Microsoft Research HERE.

Microsoft joins Cloud28+ as a technology partner for Azure Stack

August 1, 2017 in UberCloud Voice August 2017

Microsoft Inspire small2Microsoft has become the latest Technology Partner to join Cloud28+. “Together at Microsoft Inspire this week to meet with customers, partners and influencers, we are cementing a unique opportunity for Cloud28+ members to accelerate their Azure Stack readiness, content and sales enablement. This new community alliance will provide partners with expanded business opportunities and tools while accelerating customer business outcomes”, said Xavier Poisson Gouyou Beauchamps, Vice President, WW Indirect Digital Services at Hewlett Packard Enterprise, in an announcement at the occasion of Microsoft’s Inspire Conference last month in Washington. To fuel partner sales and increased customer choice, HPE and Microsoft will create a joint Azure Stack ISV onboarding program focused on connecting software vendors to HPE and Microsoft solution and service providers. Read more HERE.


July 28, 2017 in UberCloud Voice August 2017

Uber Experiment 2

When UberCloud started in 2012 with its popular UberCloud HPC Experiment many engineers and scientists were very skeptical and reluctant about high-performance engineering simulations in the cloud. Major roadblocks then were, among others, security, data transfer, software licensing, and losing control in the cloud. Today, after 196 engineering cloud experiments, UberCloud, together with its many software and cloud partners, and with its software container technology, has removed most of the major roadblocks to cloud. Now, we invite all engineers to participate in a completely free cloud experiment, taking their application to the cloud, supported by free cloud licenses, free cloud resources, and free support from our UberCloud Mentors. Please see more UberCloud Experiment details HERE, and send us your request through our cloud experiment HELP form.

BP selects Microsoft Azure Cloud for company-wide platform as part of its modernization program

July 26, 2017 in UberCloud Voice July 2017

BP - smallOn July 25, Microsoft announced that BP, a leading global energy company, has selected Microsoft Azure as part of its global cloud computing strategy. The agreement will see BP move advanced workloads to Azure out of existing corporate data centers as part of the company’s modernization and transformation agenda – an agenda which is designed to deliver a sustainable step change in the company’s long-term performance. By moving its proprietary data lake to Microsoft’s cloud platform, and utilizing Azure services, with state-of-the-art visualization and predictive tools, BP will enable rapid data analysis, with faster insights and decision-making. “We have been impressed with Microsoft Azure Platform-as-a-Service, and its building block approach, particularly for our advanced workload requirements,” says Steve Fortune, Group CIO of BP. Read more HERE.

A New Record: How HPC Reduces CFD Simulation Time from Weeks to One Day

July 24, 2017 in UberCloud Voice July 2017

Shahin at KAUST smallSome records are broken for glory, while others, like HPC, have more practical results. Compare 2017 Nathan’s Famous Hot Dog Eating Contest champion Joey Chestnut’s record-breaking feat of eating 72 hot dogs in 10 minutes, to ANSYS, Saudi Aramco and King Abdullah University of Science and Technology (KAUST) shattering the supercomputing record by more than 5x. Chestnut was awarded the “Mustard Belt” for the 10th time, $10,000 and an additional 20,000+ calories for his impressive performance. By leveraging high performance computing, Saudi Aramco and KAUST worked with ANSYS to speed up a complex simulation of a separation vessel from several weeks to an overnight run! Read the story HERE. BTW, if you don’t have access to a supercomputer like Shaheen you can still get high-performance computing resources in the Cloud :-)

Intel’s Raj Hazra on how new technologies are Clouding our Future

July 24, 2017 in UberCloud Voice July 2017

Raj Hazra

In this video from ISC 2017, Raj Hazra, Corporate Vice President and General Manager of the Enterprise and Government Group at Intel, discusses key trends impacting the future growth of High Performance Computing. He focuses on the opportunities of enabling HPC in the cloud, and how this drives the need for a consistent platform that bridges the worlds of dedicated supercomputers and hyperscale cloud service providers. See the ISC video on insideHPC HERE.

Univa Case Study: Containerizing Engineering Simulations for Faster CFD at Trek Bicycle

July 18, 2017 in UberCloud Voice July 2017

trek2_optTrek Bicycle engineers regularly perform a large number of computational fluid dynamics simulations to design aerodynamic, faster bikes. In addition to CFD codes, the company is reliant on other off-the-shelf CAD/CAE codes to help work toward new models. At the helm of much of this effort at Trek is Mio Suzuki who performs CFD analysis and is also responsible for bringing a new way of thinking about executing such models on HPC resources. Currently, Trek, under Suzuki’s guidance, is moving toward a solution using a unique approach to HPC Docker containers, Univa middleware, and Microsoft Azure clusters provided by UberCloud, which was initially one of the consulting groups Suzuki worked with when choosing a cloud platform provider. Get the Univa case study HERE.

Cloud Seeds Simulation For SMEs

July 15, 2017 in UberCloud Voice July 2017

ANSYS AdvantageProducing higher-quality products. Shortening time to market. Reducing product failure early in the design process. These are well-established needs in the manufacturing sector that can be addressed by making high-performance computing (HPC) simulation part of the early phase of a product life cycle. There are more than 300,000 small and medium-size manufacturing enterprises (SMEs) in the U.S. alone, and many are reliant upon desktop workstations for their routine CAE design and development work. According to the U.S. Council on Competitiveness, more than half of these SMEs need more computing power. Read this article from Wolfgang Gentzsch and Burak Yenier in the new ANSYS Advantage Magazine issue.

UberCloud Exhibits Abaqus, ANSYS, and OpenFOAM on the Online Cloud28+ Marketplace

July 15, 2017 in UberCloud Voice July 2017

Cloud28Cloud28+ is the world’s largest independent community, promoting cloud services and knowledge sharing. It serves end customers, cloud service providers, solution providers, ISVs, systems integrators, distributors, and government entities dedicated to accelerating enterprise Cloud adoption. Cloud28+ is a community of trusted Hewlett Packard Enterprise (HPE) partners and a business platform for learning about and finding the right mix of hybrid IT solutions. As a customer, you can: find the right cloud services and partners; increase your knowledge base: and become a service provider of your own digital offerings. As a partner, you can: grow your visibility and revenue opportunities; create new business alliances; and lower your content and marketing costs. To visit Cloud28+ and the UberCloud store go to the Cloud28+ Marketplace, Product Search, and search for Cloud Service – Engineering Solutions – UberCloud.

Summary from Primeur Live! about the ISC High Performance Conference 2017 in Frankfurt

June 26, 2017 in UberCloud Voice June 2017

PrimeurIf you (had to) miss this years ISC High Performance Conference in Frankfurt, just follow the numerous well researched and most comprehensive live reports from Leslie Versweyveld and Ad Emmen from Primeur Magazine. They are presenting short summaries from major talks, projects, clouds & grids, hardware, middleware, applications, the TOP500 supercomputers, company news, quantum computing, and exascale progress, HERE.

High Performance Computing is Poised For Big Changes, Top To Bottom

June 23, 2017 in UberCloud Voice June 2017

Top500 2017If you want to read a quick in-depth analysis of the 500 largest supercomputers in the world and where is High Performance Computing (HPC) is heading to, this is the article to read. There is a lot of change coming down the pike in the HPC arena, but it has not happened as yet and that is reflected in the current Top 500 rankings of supercomputers in the world. But the June 2017 list gives a glimpse into the future, which will be as diverse and contentious from an architectural standpoint as in the past. No one architecture is winning and taking all, and many different architectures are getting a piece of the budget action. This means HPC is a healthy and vibrant ecosystem. Read this very interesting analysis from Timothy Prickett Morgan in TheNextPlatform HERE

NAFEMS World Congress 2017 Tackles the Big Issues in Simulation and Analysis

June 22, 2017 in UberCloud Voice June 2017

Stockholm smallYou couldn’t make it to the NAFEMS World Congress in Stockholm June 11-14 ? O.k. so you missed Stockholm in Summer, what a pity, but you don’t have to miss the excellent summary from Jamie Gooch from Digital Engineering. More than 600 attendees from 34 different countries had the opportunity to attend hundreds of sessions that covered everything from simulation of additive manufacturing to stochastics and cloud computing. With so many sessions, the organization focused the keynotes on addressing eight big issues: Simulation Governance; Democratization; Certification by Simulation; Systems Simulation; Simulation Data Management Implementation; Manufacturing Process Simulation; High-Performance Computing; and Simulation and Additive Manufacturing. Jamie discusses a few of these topics in his article in detail.

Porting and scaling engineering applications in the cloud

June 22, 2017 in UberCloud Voice June 2017

Porting Scenarios smallCloud adoption in engineering is still in its early phase simply because of the complexity of many engineering applications and their demanding high-performance computing (HPC) resource requirements. While in the first phase of HPC Cloud about five years ago engineering and scientific applications have been ported to mainstream (enterprise) cloud resources, in the second phase today several cloud providers offer dedicated HPC Cloud environments built especially for performance hungry engineering simulations. In this presentation for the ISC High Performance Conference last week in Frankfurt we present examples of real engineering applications in the cloud and discuss portability and scalability issues and their solutions. We also offer 10 Guidelines for porting your application software to the HPC Cloud. See the presentation slides HERE.

The High Performance Data Analytics Buzz in Engineering

June 22, 2017 in UberCloud Voice June 2017

Big Data 150Big Data is no longer a vague term: Be it automotive engineering with an incredible number of FEA visualizations. Or data generated from 3D prints. Or all of the information the Internet of Things (IoT) will give us?  Or the thousands of parts and assemblies in manufacturers’ inventory, not knowing how many are duplicates, how many are outdated, how many were never actually used in creating a product.  All of these views describe the state of engineering today: Terabytes of data are being generated and everyone wants it to become useful information. The solution is called high-performance data analytics (HPDA). Read how high performance computing clusters can help in this Digital Engineering article from Randall Newton. He also mentions that “New software vendors like UberCloud are coming to market with solutions that bridge the gap between existing HPC systems and cloud engineering, with “containers” that make installation and use of the leading simulation products a simple process.”

Cloud Computing Hits a Tipping Point

June 18, 2017 in UberCloud Voice June 2017

Cloud Tipping PointCloud computing is now established as the default choice for application deployment. More important, the IT disciplines that accompany application design and operation are now cloud-centric. This means application architects assume infrastructure transience, horizontal scaling, and topology partitioning (microservices). It means operations groups recognize DevOps is table stakes, now that infrastructure availability is measured in seconds or minutes, not weeks or months. And it means that IT groups are using services rather than implementing components, e.g., Redshift rather than Teradata. They want the function, not the support. In short, cloud has won the hearts and minds of IT users. The significance of this tipping point is profound. It will destroy the legacy data center-focused vendors. Read Bernard Golden’s strong arguments for cloud computing in general in his blog HERE.

Cloud-based CAE software is transforming the design and engineering industry

June 14, 2017 in UberCloud Voice June 2017

Simscale for June 2017No other industry benefits more from the rise of cloud computing than that of digital engineering, where simulation and model validation technology can typically rack up five-figure costs because of their highly-specialized nature. Thanks to the cloud, design teams can now access their tools and collaborate with their teams via a single platform, entering public information repositories across the Web to help them make informed decisions at the preliminary design stage. Here, designers and engineers have hundreds of integrations at their disposal, allowing them to personalize their workflow and support their innovations, while reducing vulnerability to hacker incursions. Cloud-based software has also drastically reduced the cost of capital that typically prevents SMEs from competing with larger corporations. The rise of cloud-based CAE software has shifted the needle on the size of current players in the market. We now progressively see smaller, more niche companies coming into play. Read the full article HERE.

How Cloud Computing Can Shape the Pharmaceutical Industry

June 14, 2017 in UberCloud Voice June 2017

RoryAccording to PwC’s ‘From vision to decision Pharma 2020’ report, productivity in the pharmaceutical sector faces a bleak future. The processes organizations use to discover and develop new products remain the same, innovation has declined and regulations are becoming more onerous while market conditions are getting harsher with global healthcare costs rising. From 2005 – 2011 the annual average cost per approved molecule was $4.2 billion – 50% more than the previous five years. Changing the discovery and development process will be essential in shaping the pharmaceutical sector and in addressing some of its key challenges – cloud computing can facilitate faster innovation. But pharma organizations have been late to adopt cloud-based technologies and this has led to them managing large complex on-premise software. Read the article of IDBS Solutions Consultant Rory Quinn in Scientific Computing HERE.

Dispelling the 7 Myths of Cloud Computing

May 30, 2017 in UberCloud Voice May 2017

Fort Knox 4Five years ago, when we started with our UberCloud Experiments, cloud computing for compute-intensive engineering and scientific applications was in its infancy, and we faced several severe roadblocks then. A cloud experiment took on average 3 months, and about 50% failed. But over the years we have learned how to reduce or even remove them. And from the last 50 cloud experiments we did, none of them failed anymore, and the average experiment time was 3 days.  And while the roadblocks were real five years ago, today, many of them have turned into myths, with the advent of new technologies, business models, and the growing acceptance of cloud computing. We are analyzing these 7 roadblocks-turned-into-myths herehttps://lnkd.in/gW8N2np.

Nvidia’s ‘GPU Cloud’ Adopts Containers for Artificial Intelligence Development

May 29, 2017 in UberCloud Voice May 2017, Uncategorized

Nvidia deep learning smallNvidia’s entry into the cloud market is differentiated from public cloud leaders by its focus on delivering development tools for training artificial intelligence models and running AI workloads using application containers. Nvidia CEO Jensen Huang unveiled the “GPU-accelerated cloud platform optimized for deep learning” during the company’s annual technology conference on Wednesday (May 10). Its AI development stack runs on the company’s distribution of Docker containers and is touted as “purpose built” for developing deep learning models on GPUs. Among the goals is giving AI developers easier access to the growing suite of deep learning software available for AI applications. The on-ramp approach to GPU-based cloud computing addresses growing requirements to gather into a single stack the proliferation of deep learning frameworks, drivers, libraries, operating systems and processors used for AI development. Read HPCwire article HERE.

The Big Issues in Engineering Simulation-Democratization

May 29, 2017 in UberCloud Voice May 2017

Putting simulation into the hands of the non-expert is a subject that elicits much discussion within NAFEMS committees. NAFEMS aims to acts as an advocate for the deployment of simulation, however the concern is that if the capabilities are not controlled, errors and incorrect assumptions will lead to simulation being viewed with suspicion or to improper decisions. A crucial element is the relationship between the simulation expert and the non-expert, where the responsibility of the expert ends and the ability for the non-expert to be able to use simulation safely starts. This requires simulation experts to design smart simulation applications and is somewhat analogous to the traditional handbooks where experts would develop solutions in a parametric form and a working engineer didn’t have to know how those solutions were developed but would use a formula and perhaps some graphs in conjunction with the formula to come to some kind of a prediction. This article, written by Althea de Souza appeared first in NAFEMS April 2017 Benchmark Magazine. It is the first in a series of eight, looks at Democratization and is available HERE.

Unlimited Compute Capacity at Your Desktop

May 3, 2017 in UberCloud Voice May 2017

Wim ArticleAccording to Jamie Gooch, editorial director of Digital Engineering “we’re entering the sweet spot for the combination of high-performance computing and simulation.” The hardware is becoming ubiquitous thanks to the many forms it can take—powerful workstations, on-site clusters and cloud-based resources. The software is now built to take advantage of all that available processing power. The final hurdle to cross is for engineering teams to understand the possibilities and how to determine what implementation will speed their workflow. This Special Issue presents an article from Wim Slagter, Director of HPC and Cloud at ANSYS, about “Unlimited Compute Capacity at Your Desktop”, where he explains the increasing demand for compute capacity, HPC in the Cloud, pay-per-use licensing, and advantages of cloud computing. You can download the special issue HERE.

insideHPC Guide: HPC Moves to the Cloud – What You Need to Know

May 3, 2017 in UberCloud Voice May 2017

insideHPC HPC Cloud

This white paper, written by Michael Schulman and sponsored by RedHat, introduces into cloud computing for HPC. It covers major HPC application areas, the different cloud services and delivery models such as SaaS, PaaS, and IaaS, continues with public, private, and hybrid cloud, application migration to the cloud, looks at IaaS components, OpenStack fundamentals, and stresses the importance of operating systems (re memory latency, parallel execution, containers,and virtualization). The paper closes with a few customer examples and future directions. Download the white paper from insideHPC HERE.

UberCloud at ISC High Performance Conference in Frankfurt in June

May 3, 2017 in UberCloud Voice May 2017

ISCUberCloud will participate again this year at the 32. ISC High Performance Conference on June 18 – 22 in Frankfurt, Germany. Right before we will also attend HP-CAST 28, the Hewlett Packard Enterprise (HPE) High Performance Consortium for Advanced Scientific and Technical Computing users group for large-scale, scientific and technical computing. Burak Yenier and Wolfgang Gentzsch will present UberCloud’s recent developments of application software containers in collaboration with HPE, Intel, and Microsoft. Latest containers for engineering software from ANSYS, COMSOL, NUMECA, OpenFOAM, Siemens PLM, SIMULIA, and VSim, and for Life Science software like Gromacs, LAMMPS, NWChem, and QMCPack will be presented. Also, join us at the Microsoft Azure Booth in the exhibition where we will present live demos about CAE containers on the Azure Cloud. And, finally, we will talk about Porting and Scaling Engineering Applications in the Cloud, on Tuesday June 20, 3:45 PM, in the Large-Scale Engineering & Cloud Session.

Testing Docker Container Performance for HPC Applications

April 21, 2017 in UberCloud Voice April 2017

Docker vs KVMThis article presents actual benchmark research by Alexey Ermakov and Alexey Vasyukov. The main goal for this article is to compare performance penalties when using KVM virtualization and Docker containers for creating isolated environments for HPC applications. The article provides both data obtained using synthetic tests (High Performance Linpack) and real life applications (OpenFOAM). The article highlights the influence on performance of major infrastructure configuration options – CPU type presented to VM, networking connection type used. As one of the results the authors strongly recommended to run benchmarks on exact application you’re going to run when considering virtualization or containerization as an option for HPC. Another important result is that a real «non-synthetic» application like OpenFOAM is more than 2 times faster in Docker containers than the same application in KVM. Read the article HERE.

HPC Workflows Using Containers

April 20, 2017 in UberCloud Voice April 2017

Shifter videoIn this video from Switzerland HPC Conference, Dr. Lucas Benedicic & Dr. Felipe A. Cruz from CSCS-ETHZ discuss a workflow for building and testing Docker containers and their deployment on an HPC system using Shifter. Docker is widely used by developers as a powerful tool for standardizing the packaging of applications across multiple environments, which greatly eases the porting efforts. On the other hand, Shifter provides a container runtime that has been specifically built to fit the needs of HPC. We will briefly introduce these tools while discussing the advantages of using these technologies to fulfill the needs of specific workflows for HPC, e.g., security, high-performance, portability and parallel scalability. We will support these points by presenting benchmark results that also highlight the use of specialized hardware like Cray Aries interconnect and NVIDIA Tesla P100 GPU accelerators. Watch the video on insideHPC HERE.

Hyperion (IDC) Paints a Bullish Picture of HPC Future and of Cloud

April 19, 2017 in UberCloud Voice April 2017

This HPCwire article from John Russell provides an excellent status of the actual HPC market and its trends. Hyperion Research – formerly IDC’s HPC group – painted a fascinating and complicated portrait of the HPC community’s health and prospects at the recent HPC User Forum held in Albuquerque, NM. HPC sales are up and growing ($22 billion, all HPC segments, 2016). The new kid on the block – all things ‘big’ data driven – is becoming an adolescent and behaving accordingly. And HPC Return on Investment (ROI), at least as measured by Hyperion, is $551 per $1 invested (revenue growth) and $52 per $1 of profit invested. In earlier studies HPC user willingness to deploy in the cloud has often seemed tepid. Costs, security, adequate performance were all concerns, especially so in public cloud. Hyperion suggested attitudes seem to be changing and reported a jump in the number of HPC sites using public clouds – 64 percent now up from 13 percent in 2011, but cautioned that the size and number of jobs were still limited to a small proportion. Conversely, private and hybrid cloud use was growing fast and held more near-term promise. Read all the details HERE.

Digital Engineering’s Special Issue on The Democratization of Technology

April 18, 2017 in UberCloud Voice September 2017

Democratization of TechnologyIt’s easy to forget that we have the power of yesterday’s supercomputers in today’s desktop workstations and the power of yesterday’s workstations in the phones in our pockets. That sets a high bar. We now expect the same ease of use when it comes to tapping into HPC resources on-premise or in the cloud, or tapping on our screens to use advanced design and simulation software. We are not there yet, but as the articles in this Digital Engineering democratization compilation issue show: Many vendors are addressing the logistics, engineering challenges and Return on Investment (ROI) needed to make transformative technologies accessible to all. Inside this Special Issue you will find articles about: Preparing for the HPC floodgates to open; A new virtual reality; Fromm All-in-One to Pick-What-You-Want CAD; Designing the future of manufacturing; What’s happening to cluster computing on-premise and in the cloud; The implications of simulation’s app-ification; and The democratization of PLM. You can download this free Special Issue HERE.

Top Trends in Industrial Design: From Green Engineering to the Cloud and Beyond

April 16, 2017 in UberCloud Voice April 2017

SimScale for April 2017“The era of cloud-based product design is upon us,” says Gartner in their Cool Vendors in Product Design and Lifecycle Management 2016 report. What’s driving this massive transformation? The desire for flexibility and accessibility, increased collaboration, ease of use and serious cost reductions. In a recent article by Machine Design on trends in industrial design engineering, two are being shaped by the rise of cloud technology: CAD software: About 30% of the CAD enterprise software market will be software as a service (SaaS) by the end of 2018 says the IDC;  and  Computer-aided engineering (CAE): Until recently, CAE required tens of thousands of dollars in hardware and software investments. With the rise of the cloud, this technology is becoming more affordable and, as a result, more accessible. Why does this matter to design engineers? Read the answers from SimScale’s Netty Zaharia who spotlights the five industrial-design engineering trends to watch out for in 2017, in the Machine Design article about Top Trends in Industrial Design: From Green Engineering to the Cloud and Beyond.

Cloud Solution Architectures

April 16, 2017 in UberCloud Voice April 2017

Azure big compute architectureMicrosoft published over 20 different cloud solution architectures to help customers design and implement secure, highly-available, performant and resilient solutions on Azure. Although these architectures are especially designed for the Azure cloud they are a great collection inspiring and valid at high-level also for other clouds. Among them are three cloud solution architectures which are focusing on High Performance Computing (HPC) applications which can scale to thousands of compute cores, extend on-premises big compute, or run as a 100% cloud native solution. These HPC solutions run in Azure with no hardware infrastructure to maintain. i.e. Big compute solutions as a serviceHPC cluster deployed in the cloud, and On-premises HPC implementation bursting to Azure.

Webinar Recording available: HPC Cloud in Oil & Gas – High Performance Computing made simple and affordable

March 30, 2017 in UberCloud Voice April 2017

Team 99 small

Join us at this HPC Cloud Webinar on April 12 and learn about status and developments of HPC and Cloud in Oil & Gas. Find out how easy it is today to access and use HPC Cloud to improve and speedup your research. Based on 195 engineering cloud experiments we present our experience, lessons learned & recommendations on how to best use cloud, scaling to 100s of cores, allowing for complex geometries processed in less time. We demonstrate these advantages with a case study from our Team 99 about “North Sea asset life extension assessing impacts on helicopter operations”. To engineers, this cloud resource looks like your home desktop computer, no need to learn anything new, and still your jobs and data can be accessed and used in the same way, at your fingertips. The webinar recording is available for download HERE

Team 194: Aerodynamic Study of Airflow around an Airfoil in the EGI Cloud

March 26, 2017 in UberCloud Voice March 2017

Team 194In this case study from Team 194, led by Praveen Bath, Engineering Technology Consultant in India, the incompressible air flow around an airfoil has been studied. The model setup included the geometry preparation where a selected region was modeled to represent the surrounding air volume with the airfoil profile at the center. The airfoil profile needed to be accurately modeled to capture the variation in the airflow pattern around the airfoil. The model setup was done using CFD Support’s professional OpenFOAM 3.0. The OpenFOAM software is embedded in an UberCloud Container sitting on EGI / CESNET cloud resources in Prague. The main objective of this project was to experience the ease-of-use of the UberCloud OpenFOAM software container and to evaluate HPC performance with respect to the accuracy of result prediction as well as the solution time and resource utilization. Read this case study, sponsored by Hewlett Packard Enterprise and Intel, HERE.

The Democratization of CFD

March 26, 2017 in UberCloud Voice March 2017

Democratization-of-CFD-SchematicOver the last couple of years, and particularly following the ASSESS 2016 Congress in Maryland, Keith Hanna and Ivo Weinhold from Mentor Graphics have been debating the latest phrase to hit our Industry: the ‘democratization of CFD’. They both felt that over the last 25 years the CFD industry is not where they hoped it would be in terms of truly democratized CFD usage. In his 4-part blog about ‘The Democratization of CFD’ Keith Hanna looks at what is being said in the market about the democratization of CFD by vendors, at forums like NAFEMS and ASSESS, on CFD industry blogs, and in engineering magazine articles. The 4 parts are about the democratization of CFD with Part 1 “Mind the Gap”, Part 2 “Why is it so Difficult?”, Part 3 “Pros and Cons of Technology Solutions, and Part 4 “Boldly Going …”. Read Keith’s blogs HERE.

UberCloud Publishes ANSYS Compendium of Case Studies, 2012 – 2016

March 15, 2017 in UberCloud Voice March 2017

This document is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Computing as a Service, in the Cloud. It is a collection of 18 selected case studies written by the participants of the UberCloud HPC Experiment, who used different codes from ANSYS, like Fluent, CFX, and HFSS in the cloud. Among these case studies you will unquestionably find scenarios that resonate with your own situation. You will benefit from the candid descriptions of problems encountered, problems solved, and lessons learned. Projects covered are in fields of Computer Aided Engineering (CAE), such as Computational Fluid Dynamics (CFD) and Structural Analysis (FEA).

Team 184

Team 184: Spray modeling of dispensing device with ANSYS CFX in the Microsoft Azure Cloud

The 18 engineering cloud case studies are about a flash dryer, irrigation systems, wind turbines, combustion modelling, desalinization, fan performance, gas-liquid flow, geo-thermal perforation, fluttering of aircraft wings, microelectronic packaging, frontal car crash, spray modeling, engine intake manifold, airbag simulation, implantable planar antenna simulation, and more. Download the UberCloud Compendium of ANSYS Cloud Case Studies.

UberCloud Team 193: Implantable Planar Antenna Simulation with ANSYS HFSS in the OzenCloud

March 14, 2017 in UberCloud Voice March 2017

Team 193For this case study from Team 193 Ozen Engineering in California performed design modifications and performance tuning of a Planar Inverted F Antenna (PIFA) in the OzenCloud and studied the implantable antenna placed inside the skin tissue of an ANSYS human body model. The resonance, radiation, and Specific Absorption Rate (SAR) of implantable PIFA were evaluated. Simulations were performed with ANSYS HFSS (High-Frequency Structural Simulator) which is based on the Finite Element Method (FEM). ANSYS HFSS has been packaged in an UberCloud software container and ported to the cloud. All simulations have been performed on a 40-core Nephoscale cloud server with 256 GB RAM. These simulations were about 4 times faster than on the local 16-core desktop workstation. Read the complete case study HERE.

Overcoming Security Challenges in the Hybrid Cloud

March 13, 2017 in UberCloud Voice March 2017

Cloud Data-Security-370x290

Businesses are embracing the flexibility and scalability of hybrid cloud computing, where the public cloud and ancillary dedicated infrastructure converge. IDC predicts that by next year, 80 percent of organizations will be committed to hybrid cloud architectures. But many firms still struggle with cloud security management, with more than half citing security as their greatest challenge. Especially as internal departments outside of IT interact with these platforms, simple mistakes and security knowledge gaps can escalate into more serious issues. In his article Brett Moss, senior vice president and general manager at Ensono, provides  a few best practices businesses should have in place as they become more reliant on hybrid cloud platforms, such as: getting serious about ‘shadow IT'; centralizing cloud management; and prioritize data security. Read the full article in EnterpriseTech.

Infographic on the adoption of cloud applications in manufacturing to see how your company compares

March 8, 2017 in UberCloud Voice March 2017

Manufacturing Cloud Infographic 2017

Do you feel stuck in the 90s, designing and launching your cutting edge products on old product management systems? Don’t fall behind. It’s time to move to the cloud. According to PropelPLM.com the adoption of enterprise cloud applications in manufacturing companies is accelerating as industry leaders look to cut overhead costs, gain visibility into important data, and engage more easily with customers. Propel, Salesforce, Rootstock, ICIX and Tavan Technologies launched a survey at the Manufacturing ISV Cloud Summit in Chicago to get a better understanding of how manufacturing companies are using enterprise cloud applications, like Salesforce, Workday and NetSuite. While Sales, Marketing, Services and IT are heavy users, the survey found that there’s a major shift underway in how engineers are adopting cloud technologies. See the very interesting Infographic which looks at cloud adoption for manufacturing, cloud benefits, cloud maturity, cloud challenges, and cloud recommendations for manufacturers:  Manufacturing: On the Cloud Frontier, HERE.

Thermal modeling on cloud-based simulation app

March 3, 2017 in UberCloud Voice March 2017

Team 192This CAE Cloud project from end-user Stephan Savarese of ForCES, a provider of multiphysics simulation, training and consulting services for climate, energy and science, was designed to explore how cloud HPC resources can help to speed up and enable high-performance finite element simulations carried out with COMSOL Multiphysics and COMSOL Server. The engineer’s objective was to find out how HPC cloud providers like CPU 24/7 can augment engineering organizations’ on-premise hardware to allow for more detailed and faster simulations. In his article in 3D CAD World, Bruce Jenkins from ORA Research describes the application model of an industrial fragrance extraction boiler, challenges of running simulations for days on the user’s local desktop, use of COMSOL in an UberCloud software container, the work process and implementation, benchmark results, and benefits of running these simulations in the cloud. Read Bruce’ article HERE.

5 Minutes with Dassault’s Steve Levine About The Living Heart Project

February 25, 2017 in UberCloud Voice February 2017

Steve LevineAt 2017 Solidworks World, in a 5-min interview with Jeff Rowe from MCADCafe, Steve Levine, Executive Director of the Living Heart Project (LHP) of Dassault Systemes explains the LHP and its current status. More than 80 partners in research and industry – including UberCloud – are applying the power of realistic simulation to human modeling, aiming at revolutionizing medical care. Under the lead of Dassault Systemes SIMULIA, LHP is uniting leading cardiovascular researchers, educators, medical device developers, regulatory agencies, and practicing cardiologists on a shared mission to develop and validate highly accurate personalized digital human heart models. See the interview with Steve Levine HERE.

HPC Clouds Can Compete with On-Premise HPC Clusters, New Benchmarks Show . . .

February 18, 2017 in UberCloud Voice February 2017

Exabyt.io_.Cloud-Study.2. . . And Microsoft Azure Cloud is taking the lead. This is the result of comparative HPC benchmarking of cloud computing vendors with High Performance Linpack, performed by Mohammad Mohammadi and Timur Bazhirov from Exabyte Inc. The authors present a performance analysis achieved by the Linpack benchmark on compute intensive hardware from cloud providers Amazon AWS, Microsoft Azure, IBM SoftLayer, and Rackspace, compared with the traditional NERSC Edison supercomputer. The study analyzes performance within a single compute node and speedup for distributed memory calculations with up to 32 nodes on at least 512 computing cores. The study’s findings demonstrate that the concept of HC in the cloud is ready for widespread adoption and can provide a viable and cost-efficient alternative to capital-intensive on-premises hardware deployments. Read the full paper HERE or a summary in HPCwire.

Engineers – Thinking Outside the Cloud Storage Box

February 10, 2017 in UberCloud Voice February 2017

SolidEdge Cloud StorageIn this Digital Engineering article Brian Albright analyzed the different ways of storing, accessing, and sharing engineers’ design files, simulation data and other engineering information. With exponential growth recently of this data, storing those files and sharing them with other stakeholders has gotten increasingly more challenging. While larger firms are using product data management (PDM), product lifecycle management (PLM) and their own IT resources to solve this problem, smaller firms have struggled. Cloud-based storage platforms like Dropbox, Google Drive and Microsoft OneDrive have provided one way for smaller companies to easily store and share files. “Storage is a critical component of the workflows and systems that engineers use,” says Ray Milhem, vice president of Enterprise Solutions and Cloud at ANSYS. “There are multiple options available, both on-premise and in the cloud.” Read the article HERE.

UberCloud Team 195: Simulation of Impurities Transport in a Heat Exchanger Using OpenFOAM

February 6, 2017 in UberCloud Voice February 2017

Team 195In this case study of the UberCloud Experiment Team 195, Eugeny Varseev from the Central Institute for Continuing Education & Training (ROSATOM-CICE&T.), Obninsk, Russia performed a numerical simulation of the transport of impurities in a heat exchanger designed for coolant purification using CFD Support’s OpenFOAM in Box v16.10. The transient process of the purification trap operation process was simulated in order to find the process stabilization time. The study was performed at two general stages: first, the steady-state thermal hydraulic simulation of the coolant flow pattern inside the heat exchanger was done using standard OpenFOAM capabilities on the local desktop. Second, the transient simulation of both dissolved impurities and crystalized particulates transport was performed using a custom OpenFOAM transport solver hosted in an UberCloud software container on the Advania Cloud in Iceland. You can download the case study HERE.

451 Research: Software Containers A $2.7 Billion Market By 2020

February 3, 2017 in UberCloud Voice February 2017

Credit: Pixabay Software containers are expected to penetrate the enterprise and cloud infrastructure market to a greater extent in the next three years than they have to date, turning a $495 million market in 2015 into a $2.69 billion market by the end of 2020. Containers are currently a small portion of a set of cloud-enabling technologies, but they make up the fastest growing part with a 40% annual growth rate through 2020. Those are two of the main conclusions of 451 analyst Jay Lyman, manager of container and cloud management research in his recent report. Some critics have said containers recently have received an undue amount of attention. But Lyman said container adoption has been on a steady increase since 2015. At an early stage, they expanded the purposes for which they could be used, from development to testing, quality assurance, staging and production deployments. “The time between dev and test and production is much shorter than it used to be. We see pretty strong adoption of containers for production applications.” Read the article HERE.

Simulation Becoming Democratized

February 2, 2017 in UberCloud Voice February 2017

Simulation Is Becoming Democratized—At Last (Part 2)

Team 99jpegTwo decades after software vendors put simulation and analysis in the hands of non-analyst engineers and designers, a wealth of new technologies have opened up to make this a practical reality. In the last issue of Design World, Part 1 of this series looked at how contemporary connections between CAD and CAE software environments have grown more sophisticated and intelligent than the industry’s early attempts. Now, in his 2nd Part, Bruce Jenkins from Ora Research is looking at two more trends acting to democratize simulation. The first, meshless structural analysis and other recent technological advances that simplify and accelerate the traditionally time- and labor-intensive tasks of analysis model creation and problem setup. Second, the cloud-based HPC revolution, driven by a wave of visionary young organizations working to make cloud HPC-based simulation easily available to engineering organizations. In the first category, Bruce is presenting SIMSOLID, simulationHub, and SimForDesign as examples, and in the second, he is looking at UberCloud, Simscale, Rescale, and AweSim.

Ora Research Leading a Study on the Simulation App Markets & Opportunities – Looking for Participants

February 1, 2017 in UberCloud Voice February 2017

Ora ResearchTo help discover, develop and implement strategies, tactics and best practices to expand and strengthen awareness, understanding, acceptance, adoption and institutionalization of simulation app technologies and methods—all with the goal of accelerating growth and fostering maturation of the market—Ora Research will initiate and lead a sponsored multiclient study to identify and understand the Contemporary drivers for recognition, acceptance, justification, adoption and implementation of simulation app tools and work processes in organizations using them today; the Constraints on adoption arising from gaps and shortcomings in the current state of technology development, implementation and delivery; and the Improvements in the technology and its implementation and delivery, in its market development and sales presentation, in providers’ cultivation of customer readiness. If you want to learn more and participate in this study, as a sponsor or as an simulation app user, go to the Ora Research Website.

Radio Free HPC Congratulates The UberCloud on New Funding

January 30, 2017 in UberCloud Voice February 2017

RadioFreeHPCIn this podcast, the Radio Free HPC team Rich Bruckner, Shahin Khan, and Dan Olds look at why the UberCloud has received $1.7 Million in Pre-A Series funding. It’s great news for HPC in the Cloud, they say. And they quote Roland Manger, co-founder and Partner at Earlybird, saying “The UberCloud has created an entire cloud computing ecosystem for complex technical simulations, leveraging cloud infrastructure providers, developing and utilizing middleware container technology, and bringing on board established and proven application software providers, all for the benefit of a growing community of engineers and scientists that need to solve critical technical problems on demand. While technical computing has been slow to adopt the benefits of the Cloud, we are convinced that UberCloud can be a catalyst for change.” Listen to Radio Free HPC from minute 11 to minute 18 HERE.

New Webinar Series – CAE Veteran Dennis Nagy on Addressing the Changing Role of Engineering Simulations – With a Focus on CAE Simulation in the Cloud

January 27, 2017 in UberCloud Voice January 2017

DennisCAE veteran Dennis Nagy from BeyondCAE is launching the new UberCloud “Thought Leadership” series of webinars from engineers for engineers. Until recently, many companies couldn’t afford buying their own expensive HPC equipment coming along with long procurement cycles, high total cost of ownership, and fast aging hardware technologies. Now, with HPC being available in the cloud, and roadblocks removed, this picture has changed dramatically. The goal of this webinar series is threefold: First, introduce webinar attendees to CAE cloud computing. Second, demonstrate to engineers the next generation of cloud technology for CAE and its user-friendliness. And third, encourage engineers to sign up for a hands-on UberCloud training. Dennis also briefly discusses the major HPC Cloud roadblock which have mostly been resolved over the last few years. Dennis is presenting this webinar together with UberCloud’s president Wolfgang Gentzsch. Get more information on the webinar and register HERE.

Technical Computing Hub UberCloud Receives Funding from Earlybird

January 26, 2017 in UberCloud Voice January 2017

Earlybird UberCloudLOS ALTOS, Calif., and ISTANBUL, Turkey, Jan. 26 — Today, UberCloud, the Silicon Valley based hub in the cloud for engineers and scientists to discover, try, and buy computing on demand, announces the closing of its Pre-A $1.7 million round lead by Earlybird Venture Capital. Roland Manger, co-founder and partner of Earlybird, joins the UberCloud Board of Directors. “UberCloud has created an entire cloud computing ecosystem for complex technical simulations, leveraging cloud infrastructure providers, developing and utilizing middleware container technology, and bringing on board established and proven application software providers, all for the benefit of a growing community of engineers and scientists that need to solve critical technical problems on demand,” said Roland Manger, co-founder and Partner at Earlybird. “While technical computing has been slow to adopt the benefits of the Cloud, we are convinced that UberCloud can be a catalyst for change.” Read the announcement HERE.

UberCloud Cites Big Progress in HPC Cloud Computing

January 25, 2017 in UberCloud Voice January 2017

After four years, 200 cloud experiments and 80 CAE case studies later, we are now able to measure cloud computing progress, quite objectively. Looking back four years at our first 50 cloud experiments, 26 of them failed or didn’t finish, and the average duration of the successful ones was about three months. Four years later, in 2016, looking at our last 50 cloud experiments, none failed; and the average duration of these experiments is now just about three days. This article summarizes major findings. We also present a discussion of roadblocks – such a security, software licensing,porting application software to the cloud, total cost, cloud complexity, and losing control over you assets in the cloud – and how they have been resolved, and offers three examples from the latest 2016 Compendium of HPC cloud case studies. Read the full HPCwire Feature story HERE.

CAE Containers can help energy, oil and gas companies accelerate adoption of cloud-based HPC.

January 25, 2017 in UberCloud Voice January 2017

oil-pumpMore companies are adopting cloud-based high performance computing (HPC), especially in industries that require significant computational power. The energy, oil and gas markets are no exception. After all, they rely on advanced computer-aided engineering (CAE), advanced data analytics, seismic processing, and other data- and computationally-demanding applications. But implementing cloud-based HPC will require new approaches that deliver greater flexibility and ease deployments. One such solution? Containers. And what’s the advantage of containers for HPC? With traditional HPC systems, compute, network, power, data, and any associated technologies need to be architected and developed, designed and implemented. With a container-based solution that’s running in the cloud, only the application needs to be developed, as the infrastructure can be agnostic and always available. That may seem idyllic, but read more HERE.

Amazon AWS Outlines HPC Cloud User Trends, Looks at Machine Learning & Deep Learning in the Cloud

January 24, 2017 in UberCloud Voice January 2017

The Next Platform

Nicole Hemsoth from The Next Platform discusses the projected momentum for AWS’ new FPGAs in the cloud with Deepak Singh, general manager of container and HPC projects at Amazon Web Services. In the second half of the interview, they delved into the current state of high performance computing on Amazon’s cloud. While the company tends to offer generalizations versus specific breakdowns of “typical” workloads for different HPC application types, the insight reveals a continued emphasis on pushing new instances to feed both HPC and machine learning, continued drive to push ISVs to expand license models, and continued work to make running complex workflows more seamless. Read Nicole’s article with Deepak Singh HERE.

Comparing Amazon AWS, Google Cloud, and Microsoft Azure

January 4, 2017 in UberCloud Voice January 2017


Comparing Amazon AWS, Google Cloud, and Microsoft Azure


Are you shopping for Public Cloud services?


A new Psite gives a service & feature level mapping between the 3 major public clouds: Amazon Web Services, Microsoft Azure & Google Cloud. Published by Ilyas F, a Cloud Solution Architect at Xebia Group, the Peference manual to help anyone to quickly learn the alternate features and services between these clouds.


The Comparison chart lists the following types of features, services, and domain spaces: Compute, Storage, Database, Migration Services, Networking & Content Delivery, Developer Tools, Management Tools, Security, Identity, & Compliance, Big Data & Advanced Analytics, Artificial Intelligence, Mobile Services, Application Services, Business Productivity,Internet of Things, Game Development, and Development & Testing. Read the details in InsideHPC.


Do you need help deciding which cloud is right for you? Schedule a free expert consultation with us and we can help you decide

Download the New 2016 Compendium of Engineering Cloud Case Studies

December 22, 2016 in UberCloud Voice December 2016, UberCloud Voice January 2017


The New 2016 Compendium of Engineering Cloud Case Studies – sponsored by Digital Engineering, Hewlett Packard Enterprise, and Intel – is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Technical Computing as a Service, in the Cloud, for their organization. It is a collection of 19 selected real-life case studies written by the participants of the UberCloud HPC Experiment. Among these case studies you will find scenarios that resonate with your own situation. You will benefit from the candid descriptions of problems encountered, problems solved, and lessons learned. Projects covered are in fields of Computer Aided Engineering (CAE), such as Computational Fluid Dynamics (CFD) and Structural Analysis (FEA). Case studies are about an engine intake manifold, airbag simulation, ship barehull resistance, wind turbines, airflow within a nasal cavity, thermal modelling of a reactor, implantable antennas, and more, to name a few. You can download the Compendium HERE.

Recent Progress in CAE Cloud Computing

December 22, 2016 in UberCloud Voice December 2016

UC Benefits
50 computer-aided engineering (CAE) cloud experiments per year, 20 engineering simulation case studies in one compendium each year since 2013, that’s the harvest of 4 years of UberCloud CAE cloud experiments, 195 until now. The objectives of the UberCloud Experiment are 1) creating a community of CAE in the cloud supporters, 2) better understanding cloud computing roadblocks, and of 3) identifying solutions to be able to resolve those roadblocks. This article discusses major roadblocks like security, software licensing, cloud-enabling, cost and complexity of cloud computing, and how they have been resolved in the meantime. Read the full article in Digital Engineering.

Examples of Engineering in the Cloud – from the 2016 Compendium of Case Studies

December 22, 2016 in UberCloud Voice December 2016

Team169The UberCloud Experiment started in July 2012 to explore cloud computing for engineers and scientists, and to learn about cloud hurdles and how to remove them. Since then, the UberCloud Experiment has attracted thousands of organizations and 195 active teams in computational fluid dynamics (CFD), finite element analysis (FEA) and computational biology. Each year, numerous case studies are published in a Compendium to show how teams overcame roadblocks to engineering on the cloud. This article presents three of the 19 case studies in the 2016 UberCloud Compendium sponsored by Digital Engineering, Hewlett Packard Enterprise and Intel. Cases studies presented are about Team 169: Complex Blood Flow through Cardiovascular Medical Device Using OpenFOAM on Advania; Team 175: Parametric Radio Frequency Heating with COMSOL Multiphysics in the Cloud; and Team 187: CFD Analysis of a V6 intake manifold using STAR-CCM+ in the Cloud. Read the full article in Digital Engineering.

Simulation Is Becoming Democratized—At Last (Part 1)

December 17, 2016 in UberCloud Voice December 2016

solidThinking-Inspire-300x191Two decades ago, engineering software developers launched their first efforts to make simulation accessible and safe to use by engineers who were not professionally trained analysts. In recent years, a wealth of new technological avenues are making advanced simulation capabilities accessible, practical and safe for use by non-analyst engineers and designers in ways that no longer depend on neutering their function. These include: far more sophisticated and intelligent CAD/CAE interconnection than those early attempts, meshless structural analysis and other techniques to simplify and accelerate problem setup, very affordable cloud-based HPC resources, and a rising wave of new fit-for-purpose vertical simulation “apps.” In this first part of the article Bruce Jenkins, President of Ora Research, is looking at accelerating geometry preparation and problem setup, with CAD/CAE software examples from Altair, ANSYS, Autodesk, COMSOL, SIMULIA, ESI, Exa, MSC, nCode, PTC, and Siemens PLM. Read this interesting article HERE.

High-Performance Computing & Cloud at ANSYS

December 14, 2016 in UberCloud Voice December 2016

ANSYS_CFD_and_FEA_image_1000Online magazine DEVELOP3D talked to the HPC & Cloud marketing director Wim Slagter about ANSYS’ new HPC Cloud solutions. ANSYS is making HPC available on the cloud with its ANSYS Enterprise Cloud solution – a turn-key, end-to-end simulation platform for its larger customers, which includes remote graphics, HPC job orchestration and remote session management, for global deployment. With its web interface, users can monitor and make changes to their simulations virtually anywhere and at any time. Powered by the ANSYS Cloud Gateway, this single-tenant solution can be used as a direct extension of a company’s IT infrastructure and resources while leveraging the global platform of Amazon Web Service (AWS). They discuss topics like: which customers use cloud, which jobs are suitable for cloud, data transfer, hybrid cloud, and security and confidentiality. Read the whole interview with Wim Slagter HERE.

Transitioning from Product to Platform in Engineering Simulation

December 8, 2016 in UberCloud Voice December 2016

ANSYS App Store2The meteoric rise of digital platform business models over the last decade has been called the most profound change in the global macroeconomic environment since the Industrial Revolution. Very few industries have yet to be disrupted by these new online structures that facilitate a wide range of human activities. Platform ecosystems are catalyzing radical changes in how we socialize, consume, create value and compete for profits. Platforms are connecting two or more distinct groups of users and enabling their direct interaction. Businesses that traditionally found their business advantage to be in the strength of internal resources now face competitors harnessing the expertise of hundreds of motivated users generating value-added content and network connected resources. Apple’s App Store, now boasting more than one million applications, is an example of the power of platform-inspired ecosystems. In this article on Engineering.com, as an example of a platform in engineering simulations, Stewart Bible discusses the recently released the ANSYS App Store. This online platform, which the company envisions as the future hub of its partner activity, provides designers and engineers with a centralized location to access apps that advance efficiency and productivity while using ANSYS software. You can read the article HERE.


Amazon AWS Announces Seven New Cloud Compute Services and Capabilities

December 8, 2016 in UberCloud Voice December 2016

AWS sticker_robotAt AWS’ re:Invent Conference, Amazon Web Services, Inc. (AWS), announced the next generation of Amazon Elastic Compute Cloud (EC2) Memory Optimized, Compute Optimized, and High input/output (I/O) instances, and added two new hardware acceleration options to its range of compute services. The new F1 instance is the cloud’s first customer-programmable, hardware-accelerated compute instance with Field Programmable Gate Arrays (FPGAs). Amazon EC2 Elastic GPUs allow customers to easily attach low-cost, professional grade graphics acceleration to Amazon EC2 instances. AWS also announced Amazon Lightsail, a new way to get started with AWS that makes it easy to spin up powerful virtual private servers (VPS) that have bundled storage and networking with simple, monthly pricing. Read all the details in EnterpriseTech HERE.

Design Optimization: Past, Present and Future

December 5, 2016 in UberCloud Voice December 2016

Jenkins_image3Design space exploration and design optimization software tools let engineers systematically and automatically investigate very large numbers of design alternatives to identify those with the most optimal performance parameters. Many of the quantitative and algorithmic methods that underpin design exploration and optimization have been long known–and sometimes applied–in cases where the attendant costs in expertise, time and labor could be justified. What’s changing now is the way that fresh software technologies are transforming these powerful but formerly difficult-to-apply methods into practical, everyday engineering aids. In this article from Digital Engineering, author Bruce Jenkins presents a thorough insight into design optimization – past, present and future.

The 2016 UberCloud Compendium of Engineering Case Studies

December 3, 2016 in Downloads, UberCloud Compendium

2016 CompendiumThis document is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Technical Computing as a Service, in the Cloud, for their organization. It is a collection of 19 selected case studies written by the participants of the UberCloud HPC Experiment.

Among these case studies you will unquestionably find scenarios that resonate with your own situation. You will benefit from the candid descriptions of problems encountered, problems solved, and lessons learned. Projects covered are in fields of Computer Aided Engineering (CAE), such as Computational Fluid Dynamics (CFD) and Structural Analysis (FEA).

Case studies are about an engine intake manifold, airbag simulation, ship barehull resistance, wind turbines, airflow within a nasal cavity, thermal modelling of a reactor, implantable antennas, and more, to name a few.

Pages: 93
Authors: Wolfgang Gentzsch, Burak Yenier
Availability: This document is available to registered members of the UberCloud community.

  • This field is for validation purposes and should be left unchanged.

The UberCloud Compendium of Case Studies 2016 has been generously sponsored by Hewlett Packard Enterprise, Intel, and Digital Engineering.

HPE Intel DE

SC16 Hints at What Supercomputing Means for Manufacturing

December 2, 2016 in UberCloud Voice December 2016

SC16Each year, the top talents and technologies in computing converge at the SC supercomputing conference to focus attention on how computing power can be used to solve some of mankind’s greatest challenges. For those of you who couldn’t make it to Salt Lake City this year, Jamie Gooch, editorial director of Digital Engineering, describes some of the highlights of the largest HPC conference on the Planet, such as HPC Matters in precision medicine; how NVIDIA is partnering with the National Cancer Institute and other organizations on an initiative to accelerate cancer research; Intel expanded upon its Scalable System Framework to simplify the procurement, deployment and management of HPC systems; and Dell announced its EMC HPC System for Manufacturing designed for large, small- and mid-size manufacturers looking to make the leap to HPC. Read the Digital Manufacturing article HERE.

The UberCloud Compendium of Case Studies is Coming in December !

November 28, 2016 in UberCloud Voice November 2016

Compendium 2016Now in its 4th annual edition, this 2016 UberCloud Compendium of 18 engineering cloud case studies will again be published in December, demonstrating another milestone towards the democratization of High Performance Computing (HPC) applied to engineering and scientific application simulations. HPC is still widely recognized as a complex computing tool which is mastered by a relatively small and eluded crowd of supercomputing experts who apply HPC to sophisticated fields of applied mathematics, physics, chemistry, life sciences, energy, weather and climate, and more. Supported by UberCloud’s novel software container technology, the various teams have tackled complex tasks, ranging from acoustic modelling and simulating dry-type transformers to air flow through an engine intake and the simulation of wind turbines, to thermal modelling of a reactor. HPE and Intel are involved in these UberCloud HPC Experiments again as Sponsors. Both have a strong and long-term HPC private and public cloud strategy, with the goal of helping hundreds of thousands of enterprises take full advantage of the benefits of HPC, including those stemming from the UberCloud HPC Experiments.  Watch out for the announcement of the 2016 UberCloud Compendium !

Webinar January 10, 2017: Turbomachinery CFD in the Cloud – An Easy Guide to Access and Use OpenFOAM for Turbomachinery on Demand, with a Live Demo in the Cloud

November 28, 2016 in UberCloud Voice December 2016, UberCloud Voice January 2017

TurboCFD in CloudTurbomachinery CFD is an open-source workflow based on OpenFOAM®, covering the complete process from CAD data to CFD analysis to engineering results. CFD Support turbomachinery cloud products can be accesses on the UberCloud Marketplace. Based on many engineering cloud experiments, in this webinar we will present our experience, lessons learned and recommendations on how to best use cloud computing to accelerate your turbomachinery CFD design and product development, scaling up to hundreds of cores, resulting in ten to hundred-fold speed-ups, allowing for complex geometries with fine meshes processed in less time. We will demonstrate these advantages with a real-live case study from our Team 183 about “Radial Fan CFD Simulation in the Azure Cloud”, in an UberCloud software container on a CESNET cluster in Prague as part of the EGI Cloud infrastructure. To engineers, this cloud resource looks like your home desktop computer, no need to learn anything new, and still your OpenFOAM turbomachinery job and the data can be accessed and used in the same way, at your fingertips. Please register for the webinar on January 10, 2017 HERE

Webinar: OpenFOAM in the Cloud – An Easy Guide to Access and Use OpenFOAM on Cloud Resources, with a real-live Demo

November 28, 2016 in Free Training and Webinars

Based on many recent engineering cloud experiments in this webinar we presented our experience, lessons learned and recommendations on how to best use cloud computing to accelerate your CFD design and product development. OpenFOAM on cloud resources scales well up to hundreds of cores, resulting in ten to hundred-fold speed-ups, and allows for much more complex geometries with very fine meshes processed in less time. We demonstrated these advantages with a real-live case study from our Team 194 about an “Aerodynamic Study of Airflow around an Airfoil in the EGI Cloud”, using OpenFOAM in an UberCloud container on a CESNET cluster in Prague as part of the European EGI cloud infrastructure. To engineers, this cloud resource looks like their home desktop computer. No need to learn anything new, and still their OpenFOAM job and the data can be accessed and used in the same way, at their fingertips. Watch the webinar recording on YouTube HERE: 

CFD Support Webinar

A Container for HPC – Docker, UberCloud, Shifter, and Singularity

November 9, 2016 in UberCloud Voice November 2016

AdminContainers have become an important part of the IT industry because they are more efficient than full (hardware-level) virtualization, and they dramatically improve software packageability, portability, access and use of application software and tools, and software support and maintenance. In his Admin-Magazine article, Jeff Layton explains the difference between virtual machines versus Linux containers and differentiates between ‘hardware-level virtualization’ and ‘operating system virtualization’. Jeff Layton writes that “In this article, I want to highlight two approaches to using containers in HPC. The first approach is UberCloud, which was started as “the online community and marketplace where engineers and scientists discover, try, and buy Computing as a Service.” It is where scientific applications can be performed in the cloud and where customers can purchase compute cycles. The second approach is NERSC’s Shifter (and Singularity), a container system for HPC that converts images from Docker, VMs, or CHOS to a common container format. Read more details HERE

FlyElephant Collaborates with HPC-HUB for High Performance in the Cloud

November 8, 2016 in UberCloud Voice November 2016

FlyElephantFlyElephant announced a collaboration with HPC HUB, a developer of complex software and hardware solutions in high performance computing. Now entering its second year, FlyElephant is a platform for data scientists, engineers and researchers that accelerates their work and improves their business by automating data science and engineering simulation tasks. “During this past year, the FlyElephant system has been used by more than 1000 users, which allowed us to collect a large amount of feedback and to understand how to improve the platform in the future,” said FlyElephant CEO Dmitry Spodarets. “This community is an integral part of the platform, which consists of partner companies and individual experts who are ready to help in solving complex tasks. Together we are building new solutions based on FlyElephant platform and invite everyone to join us.” Read the FlyElephant Announcement on insideHPC.

The State of HPC Cloud in 2016

November 4, 2016 in UberCloud Voice November 2016

The-Next-Platform-Final-Cubes2Nicole Helmsoth, co-founder and co-editor of The Next Platform announces the first book from Next Platform Press, titled “The State of HPC Cloud: 2016 Edition.” The printed book will be available on Amazon.com and other online bookstores in December, 2016. The editors and creators of The Next Platform have followed closely key trends in both high performance computing and cloud infrastructure over the last several years and believed it was time to condense thoughts and stories to bring better clarity about the rate of adoption, infrastructure availability, software licensing, and other trends. The behemoths of the IT industry have been talking about running HPC simulations and models in a utility fashion for a lot longer than we have been calling it cloud computing. And the irony is that this is still, despite all of the compelling arguments in favor of HPC in the cloud, a nascent market and one that defies easy qualification and quantification. Read an introduction into this book at The Next Platform.

What’s Happening to Cluster Computing?

November 4, 2016 in UberCloud Voice November 2016

Final-UberCloud-Marketplace-velocity-magnitudeWhat we call cloud computing today is rentable time on a massive array of servers, available on demand from any location. Cloud technology is moving to the forefront, offering computing as a utility, not an infrastructure investment. This new wave of computing raises new questions: What happens to on-site cluster computing? Is the democratization of local resources ending with the move to off-site cloud? What happens to existing high-performance computing (HPC) installations? In his Digital Engineering article Randall Newton picks two companies he believes are contributing strongly to the new trend of “democratized HPC as the new normal”; UberCloud with its application software containers, and Bright Computing with their dashboard approach to cluster deployment and management.

Cloud HPC Makes Simulation-Driven Design Optimization More Accessible

November 4, 2016 in UberCloud Voice November 2016

Team 187 - 2new wave of young, visionary organizations and initiatives is making the power of cloud HPC (high-performance computing) resources readily available and accessible to engineering simulation and optimization software users–including many who could never before afford anything close to the full computing horsepower they needed and wanted to run those applications. Among those companies are Rescale, SimScale, UberCloud, and AweSim. AweSim Director Dr. Alan Chalker explains the mission: “Simulation-driven design replaces physical product prototyping with less expensive computer simulations, reducing the time to take products to market, while improving quality and cutting costs. Smaller manufacturers largely are missing out on this advantage, because they cannot afford to leverage such solutions. We aim to level the playing field, giving the smaller companies equal access.” Read more about these four innovators in Bruce Jenkins Digital Engineering article.

The Democratization of HPC

November 3, 2016 in UberCloud Voice November 2016

Stewart_BibleComputational engineering and simulation tools, coupled with high-performance computing (HPC), offer an extraordinary opportunity for users to design better products, reduce time to market, streamline manufacturing, lower the cost of innovation and develop next-generation technologies that may otherwise be impossible. While supercomputing has been around since the 1960s, significant cost and ease-of-use barriers have prevented everyday scientists and engineers from accessing its power. The rise of the Internet has spawned a whole new era in distributed computing that has driven down the cost of components and commoditized the business of HPC. Simulation software vendors are adapting to this changing landscape with new software licensing models and platforms that will enable small- and medium-size companies to tap into the power of HPC-driven simulation cost-effectively. In his Engineering.com article Steward Bible discusses these opportunities and how you can plan your own HPC strategy.

UberCloud celebrates 3rd year of its HPC Cloud Marketplace Service

October 31, 2016 in UberCloud Voice October 2016

Shopping MallAfter one year and 80+ engineering and scientific HPC cloud experiments, during the Supercomputing Conference Nov 2013, UberCloud opened the first (beta) version of its engineering cloud marketplace with then 5 stores providing cloud services from cloud hardware and engineering software vendors. Since then the number of stores grew to 40, and the trend from providers and users of the marketplace is now clearly accelerating. “When we started the marketplace 3 years ago the service we offered was all manual,” explained Wolfgang Gentzsch who founded UberCloud together with Burak Yenier in 2012. “But already then we were developing our HPC software container technology based on Docker which today provides a fully automated software packaging and porting environment and allows users to access their engineering workflow within seconds, at their fingertips, in any cloud. They don’t have to learn how to handle a new cloud user platform, because handling a software container provides the same look and feel identical to the engineer’s desktop.” Based on this technology UberCloud has also cracked the software licensing problem in the cloud because every container contains its own license server. In the meantime the UberCloud Marketplace has 40 software and cloud hardware stores, and growing.

Cloud Team 192: Thermal Modelling of a Fragrance Extraction Reactor in the Cloud with COMSOL Multiphysics

October 30, 2016 in UberCloud Voice October 2016

Team 192In this cloud project for High Performance Computing (HPC) in the Cloud, Stephan Savarese, Multiphysics Consultant and Founder at ForCES, wanted to find out how cloud computing resources can help in speeding up and enabling high performance FEM simulations with COMSOL Multiphysics® and COMSOL ServerTM. He used two COMSOL applications on the CPU 24/7 cloud: one 2D model and one 3D model of an industrial fragrance extraction boiler.  Both models use specific modeling for mass and heat transfer of fluid flows and immobile solids, built from the COMSOL Multiphysics Heat Transfer Module. These two models were chosen since they represent two frequent options for thermal and fluid flows models. The 2D model enables exploring a wide range of operating condition, while the 3D model is suitable for detailed analysis and optimization. Please read the detailed case study HERE.

Sorting Fact from Fiction: HPC-Enabled Engineering Simulations, On-Premises or in the Cloud

October 27, 2016 in UberCloud Voice October 2016

Ansys11HPC was once the sole province of corporations with money and resources to afford and use supercomputers for engineering simulations. Over time, HPC hardware and cloud resources became more powerful and affordable. This opened the door for small and mid-size companies  to use HPC too. Still, myths and misconceptions surround HPC, on-premises and in the cloud, which prevent adoption of HPC (both in-house and in the cloud) for product development, ultimately yielding less competitive companies! This paper (available for download from HPCwire and based on blogs from Wim Slagter, ANSYS Marketing Director for HPC and Cloud) aids engineers and directors in sorting fact from fiction. With these facts in hand, making decisions on how, when and where to use HPC becomes easier and more sensible.

SC16 Showcases Use of HPC and Cloud In Cancer Research

October 22, 2016 in UberCloud Voice October 2016

shutterstock_cancerThe effort to attack cancer with HPC resources has been growing for years. Indeed, it’s accurate to say the sequencing of the human genome was as much a tour de force of HPC as of the new DNA sequencers. Back in June, Department of Energy Secretary Ernst Moniz blogged on the effort (Supercomputers are key to the Cancer Moonshot) and in a few weeks the opening panel at SC16 is on Precision Medicine. Among the panelists are Warren Kibbe, director of the Center for Biomedical Informatics and Information Technology (CBIIT) at the NCI, which he helped establish. Steve Conway of IDC will moderate the panel Monday evening (November 14, 2016),HPC and Precision Medicine: Researchers Are on the Brink of Finding Cures to Cancer and Other Deadly Diseases within This Generation but Only with the Power of HPC. Read more details in HPCwire HERE.

Slidecast: Running HPC Simulation Workflows in Microsoft Azure

October 22, 2016 in UberCloud Voice October 2016

Tejas azure-300x216In this slidecast from the Microsoft Ignite Conference Tejas Karmarkar,Senior Program Manager, Microsoft Azure, describes how to run your HPC Simulations on Microsoft Azure – with UberCloud container technology. “High performance computing applications are some of the most challenging to run in the cloud due to requirements that can include fast processors, low-latency networking, parallel file systems, GPUs, and Linux. We show you how to run these engineering, research and scientific workloads in Microsoft Azure with performance equivalent to on-premises. We use customer case studies to illustrate the basic architecture and alternatives to help you get started with HPC in Azure.” See the slidecast on insideHPC HERE.

Cloud Case Study: CADFEM on Amazon AWS

October 7, 2016 in UberCloud Voice October 2016

CADFEMCADFEM was finding it hard to compete with larger organizations when bidding on major contracts, where computational needs are extremely high. “Anyone involved in simulation will tell you the industry has a constant need for faster and faster computers,” says Sweeney, managing director at CADFEM Ireland Ltd. “We have some very powerful workstations in our office, but when we were up against a firm with a 500-core, high-performance cluster, we were at a disadvantage.” Small firms often don’t have the budget to build such large clusters, but when cloud-computing services started becoming more widespread and affordable, new opportunities arose for CADFEM. “The cloud offered a cost-effective way to get access to high-performance computing,” Sweeney says. “We saw the opportunity to switch clusters on and off as required and pay only for what we use.” Read the case study HERE.

Is it cost-effective to outsource CFD (or any other CAE project) ?

October 4, 2016 in UberCloud Voice October 2016

OutsourceOutsourcing is being redefined.  It is becoming increasingly synonymous with forming ad hoc teams of specialist working together to solve complex challenges.  In today’s rush to market, product development requires a team equipped with diverse skills and outsourcing allows our clients to form the right team for the project.  Outsourcing can free up your in-house design department to focus on what they do best:  design great products.  This very informative article compares in-house cost for CFD engineers and overhead with the cost of outsourcing CFD projects. The article’s general conclusion that a 3rd party consultant can be the more cost-effective approach to meeting internal CFD demands should not be ignored by those considering CFD purchasing decisions.

A Comparison of CFD Software Packages

October 4, 2016 in UberCloud Voice October 2016

CFD PackagesThe website CFD-Online lists over 200 CFD related software packages, with new packages coming online monthly claiming capability and performance improvements over established packages. Such a variety can be a little overwhelming for those who are trying to identify which is the right tool for the job. While there have been a number of academic papers attempting quantitative comparisons of results obtained from competing software packages, more pragmatic comparisons between major packages in terms of ownership costs, usability and performance are needed. This review, based on the authors 15 years of experience working with most of the vendors discussed herein, will help fill this void.

UberCloud Webinar: COMSOL on Workstations, Servers, and Clouds – What’s the better system?

September 26, 2016 in UberCloud Voice September 2016

COMSOL2This live webinar on October 4 at 9:00 AM and 3:00 PM CET, organized by Comsol Multiphysics GmbH and UberCloud Inc., compares benefits and challenges of using workstations, servers, and cloud resources for CAE simulations based on COMSOL Multiphysics® and COMSOL ServerTM. The webinar also includes a comparison of the Total Cost of Ownership (TCO) of in-house servers and public cloud resources. Novel software technologies are presented which remove most of the previous roadblocks of cloud computing, such as security challenges, conservative licensing models, slow data transfer, and losing control over your assets in the cloud. Finally a real-live demo demonstrates impressively the recent advancements in CAE cloud computing for an interactive complex CAE workflow based on COMSOL Multiphysics® and COMSOL ServerTM. Webinar language is German. Please read details and register HERE.

Free Engineering Software for Students

September 22, 2016 in UberCloud Voice September 2016

Student softwareA large part of an engineer’s education is more than facts, calculations and theories. A strong engineering education should prepare young engineers to enter the professional world with all of the skills and knowledge they need to succeed. Many engineering disciplines are becoming increasingly digital, which means relying on an increasing number of digital tools.  Often these tools take the form of software packages and platforms for every possible engineering application: CAD/CAM/CAE design and simulation, product development and management, and many more.This ENGINEERING.com article from Meghan Brown elaborates on the aspect of free or affordable CAE software for students, and why this is so important. At the end of this excellent article the reader will find a great list of CAD / CAE software available for students.

Passing HPC into the hands of every engineer and scientist

September 19, 2016 in UberCloud Voice September 2016

Containers 1In this special guest feature from Scientific Computing World, Wolfgang Gentzsch explains the role of HPC container technology in providing ubiquitous access to HPC. Despite the ever increasing complexity of HPC hardware and system components, engineers and scientists today have never been closer to HPC, i.e. to ubiquitous HPC, as a common tool for everyone. The main reason for this advance can be seen in the continuous progress of HPC software tools which assist enormously in the design, development, and optimization of engineering and scientific applications for powerful HPC systems. The article explains how the next chasm towards ubiquitous HPC will be crossed by new HPC software container technology which will dramatically facilitate software packageability and portability, ease the access and use, and simplify software maintenance and support, and which finally will put HPC into the hands of every engineer and scientist. Read the article HERE.

Maximizing Engineering Throughput with Pay-Per-Use Simulation in the Cloud

September 19, 2016 in UberCloud Voice September 2016

ANSYS CloudIn this Blog from Judd Kaiser he introduces the benefits of moving engineering simulation to the cloud, marshalling greater computing resources and faster processing on high-performance computing (HPC) solutions. While most companies would find this compelling, budget-conscious companies are concerned about the costs. The missing piece is a pay-per-use simulation business model, where  you use what you need, when you need it, and only pay for what you use. Well, now that piece is in place at ANSYS. Last week’s release of ANSYS Enterprise Cloud adds support for ANSYS Elastic Licensing™, enabling you to fully leverage the pay-per-use business model on the public cloud for both hardware and software. Read the details about ANSYS Elastic Licensing in this BLOG.

NEW ENGINEERING TREND: Driving toward digital twins

September 11, 2016 in UberCloud Voice September 2016

Digital TwinThis excellent article by Kenneth Wong from Digital Engineering (formerly Desktop Engineering) is about the new trend in engineering towards digital twins: A digital twin is much more than the digital construct of a product’s shape in curves, splines, surfaces and solids. It’s a dynamic digital model driven by real-time data coming from a product in the field, be it a mountain bike, a Humvee or a drone. The setup allows the virtual model to replicate the electromechanical behaviors of the physical counterpart. It’s a useful method to remotely monitor the health of the product, simulate its performance under hypothetical conditions, and even predict its potential failure. Learn more about how companies are helping designers address it and develop digital twins HERE.

EU HPC Strategy and the European Cloud Initiative

September 11, 2016 in UberCloud Voice September 2016

Leonardo FloresLeonardo Flores from the European Commission presented this talk at the HPC User Forum. “The Cloud Initiative will make it easier for researchers, businesses and public services to fully exploit the benefits of Big Data by making it possible to move, share and re-use data seamlessly across global markets and borders, and among institutions and research disciplines. Making research data openly available can help boost Europe’s competitiveness, especially for start-ups, SMEs and companies who can use data as a basis for R&D and innovation, and can even spur new industries.” You can access Leonardo’s presentation and slides in Rich Brueckner’s article on insideHPC  HERE.

UberCloud Case Study 191: Investigation of Ropax Ferry Performance in the Cloud

September 10, 2016 in UberCloud Voice September 2016

Team 191This UberCloud Case Study by Vassilios Zagkas and Ioannis Andreou from SimFWD Engineering Services, Athens, Greece, and sponsored by CPU 24/7, Hewlett Packard Enterprise, Intel, and NUMECA, is dealing with the calculation of barehull resistance of a modern Ropax hullform and assessing the potential of reducing resistance with minor alternations. Hullform parameters and experimental results are available and owned by SimFWD. The purpose of this project was for a new entry engineer to become familiar with the mechanics of running a NUMECA FINE/Marine simulation in an UberCloud software container and to assess the performance of the cloud compared to resources currently used by the end-user. The benchmark was analyzed on local hardware, on virtual instances in the cloud, and on the bare-metal cloud solution offered by CPU 24/7 and UberCloud.

UberCloud Case Study 190: CFD Simulation of Airflow within a Nasal Cavity

September 10, 2016 in UberCloud Voice September 2016

ChariteIn this UberCloud Case Study by Jan Brüning and colleagues from CHARITE UNIVERSITÄTSMEDIZIN BERLIN; and sponsored from CD-adapco, Hewlett Packard Enterprise, and Intel, the airflow within a nasal cavity of a patient without impaired nasal breathing was simulated using CD-adapco’s STAR-CCM+ software container on a dedicated compute cluster in the Microsoft Azure Cloud. Since information about necessary mesh resolutions found in the literature vary broadly (1 to 8 million cells) a mesh independence study was performed. Additionally, two different inflow models were tested. However, the main focus of this study was the usability of cloud based high performance computing for numerical assessment of nasal breathing.

High Performance Computing on Clouds from AWS, Google & Azure

September 10, 2016 in UberCloud Voice September 2016

AWS Google AzureHigh Performance Computing (HPC) refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation in order to solve large problems in science, engineering or in business.Today we are at the point where we not only have the technology in the cloud needed to run HPC workloads, but also have real-world use cases of companies who are successfully doing it. In his article, Joey Jablonski, VP and Principle Architect at Cloud Technology Partners provides a breakdown of HPC capabilities across all three major public cloud providers, Amazon Web Services, Google Cloud Platform, and Microsoft Azure.

The Living Heart Project to Revolutionize Cardiovascular Science through Simulation

August 27, 2016 in UberCloud Voice August 2016

Dassault-LHP-Cave-1-hi-res-aWhat if physicians and surgeons could virtually analyze their patients’ health and plan therapies and surgeries using the same advanced simulation technology that the automotive, aerospace, energy and hi-tech industries rely on to test their product before they are built? What if medical devices could be designed and safely tested in the virtual world before ever being tested in the real world? If we apply the power of realistic simulation to human modeling, we can revolutionize medical care. And that’s one of the goals of the Living Heart Project (LHP). Under the lead of Dassault Systemes SIMULIA LHP is uniting leading cardiovascular researchers, educators, medical device developers, regulatory agencies, and practicing cardiologists on a shared mission to develop and validate highly accurate personalized digital human heart models. Read more about LHP on SIMULIA’s website HERE.

Going Vertical with Engineering Software

August 26, 2016 in UberCloud Voice August 2016

AltaSim-HeatSinkSim-app-interface2Until recently, most of the engineering simulation software packages were trying to cover the broadest possible range of applications with the aim of reaching out to as many users as possible. This made / makes this software quite difficult to use, with a large number of parameters and ‘knobs’ to accommodate for as many possible geometry and physics as possible. This software is certainly manageable by the experts, but difficult to learn and use by the novice engineer. Recently, we are observing some changes: engineering software like the one from Autodesk (e.g. Forge), COMSOL (e.g. App Server and HeatSinkSim App), Dassault (e.g. the Living Heart Project), Siemens PLM (TeamCenter) and a few others added specific vertical components to focus on specific vertical markets and applications. How this evolved over the past few years can nicely be read in THIS ARTICLE from Desktop Engineering. What has not been discussed in this article is the next important step of taking these vertical software offerings to the cloud, as a service. Only then, EVERY engineer can use them at their fingertips, as an on-demand service, democratizing CAE.

CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences

August 16, 2016 in UberCloud Voice August 2016

NASAAlthough this study prepared for NASA Langley Research Center is already from 2013, it is still worth reading. This 58-page report represents the findings and recommendations of a multidisciplinary team that was assembled in response to a NASA Research Announcement (NRA) with the goal of formulating a knowledge-based forecast and research strategy for developing a visionary CFD capability in the notional year 2030. The diverse team members bring together deep expertise in the areas of aerodynamics, aerospace engineering, applied mathematics, and computer science, and the team includes members with extensive experience from industry, academia, and government. The 3-page Executive Summary comes with a list of Findings, Vision, and Recommendations. Download the NASA study HERE.

New on Youtube: COMSOL Multiphysics in the Cloud powered by UberCloud

August 14, 2016 in UberCloud Voice August 2016

Comsol AppUberCloud just published three short 3-minute videos on Youtube about ‘Easy setup for HPC in the Cloud’, ‘Replicate Your Workstation in the Cloud’, and ‘COMSOL Multiphysics Simulations on a Multi-node Cluster in the Cloud’. In these three videos Thomas Francis from UberCloud demonstrates how to use UberCloud to run COMSOL Multiphysics interactively in a compute cluster in the cloud. You will see how easy it is to have your own on-demand, high performance compute cluster environment in the cloud and to go from zero to being productive in COMSOL in a matter of minutes. The three videos are available at https://www.youtube.com/watch?v=EbKDOxVnxbE  and  https://www.youtube.com/watch?v=cCSE0Lcj0wk  and  https://www.youtube.com/watch?v=yFNM9dsCV44. 

8 Myths Debunked for Engineering Simulation in the Cloud

August 11, 2016 in UberCloud Voice August 2016

Wim SlagterIn his recent blog, Wim Slagter, Marketing Director for HPC & Cloud at ANSYS, debunks the leading misconceptions about cloud computing, and, in doing so, he will assist engineering and IT managers as they make decisions regarding computing resources, and help organizations steer around possible failures as they consider cloud computing. Wim discusses 8 misconceptions: 1 – On-the-Cloud Simulation is Less Secure Than On-Premise;  2 – Managing Simulation Jobs and Data in the Cloud is Difficult; 3 – The Cloud Should Be Used for Every Simulation Project; 4 – Public Cloud Cannot Meet My Enterprise Requirements; 5 – Cloud Computing Will Make Our IT Colleagues Redundant; 6 – If We Don’t Save Money, Cloud Computing Isn’t a Viable Option; 7 – ISV Licensing is Inappropriate for Cloud Computing; and 8 – Cloud Computing is One-Size-Fits-All. Read Wim’s post HERE.

Bryan Cantrill talks about the history of Jails and Solaris Zones

August 10, 2016 in Uncategorized

Bryan Cantrill, CTO of Joyent (now part of Samsung), may be the only person who can deliver an hour talk about Jails, Zones, which were precursor to the now very popular Linux containers.

Bryan Cantrill talks about the history of Jails and Solaris Zones

CFD Support

August 4, 2016 in Software Partners

CFD_supportlogoCFD Support is a private engineering company located in Prague, Czech Republic. Its main activity is providing CFD based OpenFOAM software and support to customers in the turbomachinery, automotive and aerospace industries as well as to mid-sized and large industrial companies and universities. CFD Support creates tailor-made software to meet the needs of their clients. In 2012, CFD Support began offering products of their own design. One such item was an OpenFOAM® based complete workflows software for engineers that provided step-by-step support from the basic physical data to significant engineering results. The company aims to meet its long-term goal of applying enhanced software to generate real world applications. CFD Support also offers educational and consulting services that include data preparation and analyses, and training and data documentation.

Visit the CFD Support store on the UberCloud Marketplace.

Microsoft Azure customer story: CFD Support Ltd.

August 4, 2016 in UberCloud Voice August 2016

Radial FanIn 2009, two Ph.D. graduates in CFD studies — Jiří Šimonek and Luboš Pirkl — decided to form a company called CFD support, Ltd. based in Prague, Czech Republic, with a mission to “democratize” the technology, using open source CFD technologies as much as possible. “We want to help smaller companies and individual researchers gain access to the tools and HPC parallel-processing power they need to perform CFD analyses on their own,” says Pirkl. “We chose Microsoft Azure based on Intel Xeon processors because of its turnkey OpenFOAM software container and available parallel-processing architecture.” He notes that UberCloud’s software containers would help streamline users’ hardware and software setup, simplifying what would otherwise be a complex process and saving considerable time. Read the whole Azure customer story HERE.

Demystifying the Microsoft Azure cloud platform

August 4, 2016 in UberCloud Voice August 2016

Microsoft AzureThe Microsoft Azure platform is a cloud computing platform which provides a wide variety of services to build scalable applications. Over the years, the Azure platform has matured and is evolving at a rapid pace compared to any other cloud platform in the market. Numerous services and features are being added to the Azure platform on a constant basis. This also creates a challenge. How does one keep track of the capabilities that Azure services are offering? This excellent article from Kunal Chandratre is an attempt to provide some quick access information, important links and other necessary details about all the services that are offered today on Azure. And it compares these services with similar services from Amazon’s AWS.

What Is High-Performance Computing and How Can Engineers Use It?

July 28, 2016 in UberCloud Voice July 2016

ClusterHigh-performance computing (HPC) has become increasingly more popular and important in the world of engineering. But defining what HPC is and figuring out how it can be deployed to aid designers can be tricky. And, honestly, it shouldn’t be that way. In this article, the author Kyle Maxey is going to present a clear definition of what HPC is, how it can be effectively used in engineering and what kind of HPC solutions are on the market today. By the end of this article, the reader should have a clear view of how HPC can help your engineering practice and what HPC options will best suit your needs. Read the Engineering.com article HERE.

New release FlyElephant 2.0 with Docker support

July 27, 2016 in UberCloud Voice July 2016

FlyElephantThe FlyElephant team announces the release of the platform FlyElephant 2.0, with following updates: internal expert community, collaboration on projects, public tasks, Docker and Jupyter support, a new file storage system which works with HPC clusters. Among the innovations are the following: Expert Community, Working together on projects, Public tasks, Docker support, Jupyter support, VNC support, The new file storage, Work with HPC clusters, and Registration via various social networks. See the announcement HERE.

ANSYS CFD and Microsoft Azure perform best HPC scalability in the cloud

July 26, 2016 in UberCloud Voice July 2016

Tejas ANSYS BlogJuly 25, 2016 – One of our cloud computing partners, Microsoft Azure, announced the addition of ANSYS computational fluid dynamics (CFD) solvers to their ISV ecosystem. Azure “Big Compute” now provides thousands of cores on demand to ANSYS customers to run their complex CFD simulation projects. These simulations will be backed by HPC infrastructure in Azure enabled by RDMA and InfiniBand technology available for Linux and Windows. “ANSYS and Microsoft Azure have been working closely on a Proof of Concept (POC) with a large customer to run ANSYS CFD workload on Azure,” said Ray Milhem, vice president of enterprise solutions at ANSYS. “The POC proved very successful and the data showed excellent scalability running ANSYS CFD up to 1024 cores.” Read Tejas Karmarkar’s blog HERE.

Video: PRACE Ada Lovelace Award for HPC for Dr. Zoe Cournia who led UberCloud Experiment #61

July 17, 2016 in UberCloud Voice July 2016

ZoeIn 2013, Dr. Zoe Cournai led the UberCloud Team 61 engineering cloud experiment resulting in her excellent case study on “Team 61: Molecular Dynamics of the Mutant PI3Kα Protein in the Cloud”, published in the 2014 UberCloud Compendium here: https://www.theubercloud.com/ubercloud-compendium-2014/. In this HPC Cloud experiment cloud based molecular dynamics (MD) simulations were used to gain insight into the oncogenic mechanism of two commonly expressed mutant PL3Kα by studying their conformational changes. Now, in July 2016, Dr. Zoe Cournai received the 2016 PRACE Ada Lovelace Award for High Performance Computing (HPC): http://insidehpc.com/2016/07/video-zoe-cournia-winner-of-the-prace-ada-lovelace-award-for-hpc/. Congratulations, Zoe !

Hewlett Packard Enterprise

July 16, 2016 in High Performance Computing Resource Providers

HPE Logo 2Hewlett Packard Enterprise (HPE) is hosting cloud solutions together with partners like Advania and UberCloud. HPE provides a full cloud software stack with OpenStack, HPE Service Automation, CMU Cluster Management Facility, Cloud Orchestration, and more. Gain the full benefit of hybrid cloud infrastructure by identifying and implementing your right mix of public and private cloud combined with traditional IT. HPE as a Service (HPCaaS) cloud computing solutions provide simplicity, security, governance, and speed for your private, hybrid, and managed clouds. 

Cloud use case: CAE Technology Services – CFD setup and computational time cut 50 percent

July 13, 2016 in UberCloud Voice July 2016

Team 187CAE Technology performed CFD analysis simulations for a top client, one of the world’s largest auto manufacturers. The project involved the intake manifold of a new V6 engine design. The car maker wanted CAE Technology to conduct what’s called a steady-state, incompressible flow analysis. “By using UberCloud ‘s ready-to-execute STAR-CCM+ application container, we simplified our software setup, and the Microsoft Azure HPC cluster based on Intel Xeon processors delivered a much faster analysis than our desktop workstations could,” said Velmurugan Patchamuthu, Founder & CEO of CAE Technology Services Inc. “Our approach—using UberCloud containers and Azure HPC—cut our overall time by 50 percent.” The details of this cloud use case can be found HERE.

Are we ready for the European Open Science Cloud?

July 13, 2016 in UberCloud Voice July 2016

Kimmo KoskiIn his recent blog post, Kimmo Koski, Managing Director of the CSC – IT Center for IT Science in Helsinki, Finland, and involved in many EU activities, is answering a few important questions about a European Open Science Cloud – EOSC:  Why do you need to create cloud on a European level?  Are national cloud efforts not enough?  Why do we need to talk about horizontal multidisciplinary cloud effort?  Isn’t domain specific cloud better since it can address the exact needs of communities?  The cloud development goes faster in US and China, so should we just wait and see what they provide? Read Kimmo’s answers and additional comments on the European Open Science Cloud HERE


July 13, 2016 in High Performance Computing Software Providers, Software Partners

Numeca 200NUMECA is focused on innovation in CFD and multiphysics analysis and optimization for design and automation. “Until recently it was my firm belief that cloud computing for engineering applications is one of the next big challenges we have to solve,” said Professor Charles Hirsch, President and founder of NUMECA International, and world-renowned expert on Computational Fluid Dynamics. “But when we came across UberCloud’s new application container technology and containerized all our CFD software packages we were surprised about the ease of use and access to any computing system on demand.”

Visit the NUMECA store on the UberCloud Marketplace.

UberCloud Case Study 189: CFD Simulation of Vertical Axis Wind Turbines

June 30, 2016 in UberCloud Voice June 2016

Team 186This case study is about computing and optimizing the performance of vertical axis wind turbines (VAWT) through CFD simulations in the Azure Cloud. Apart from the computational effort involved, the task is complicated by the fact that turbulence models are not very good at predicting the (dynamic) stall of the blades at high angles of attack. In order to get around this problem, a small VAWT for validation studies was developed and manufactured at HSR, the Hochschule für Technik in Rapperswil, Switzerland. The first part of the project consisted of performing detailed simulations and measurements of this turbine to verify the meshing and turbulence models. Once acceptable agreement has been found, the simulations will be applied to new and much larger wind turbine designs. Download the case study HERE.

New CAD Trend 2016 Report Available from Business Advantage

June 30, 2016 in UberCloud Voice June 2016

Biz AdvantageBusiness Advantage has released their new CAD Trends report 2016. It charts all the major CAD, CAM, CAE, PLM, PDM, Cloud and many other trends over the past 3 years (2014, 15 and 16) and forecasts 5 years into the future (through 2020). This report is available to download HERE.  Business Advantage’s intent in doing these studies is to keep us all up to date and assist future planning for software developers, hardware manufacturers, vendors, service companies, analysts and managers and users of CAD, CAM, CAE, PDM and PLM solutions.  You might also be interested in a recorded webinar where leading CAD Trends have been discussed by Business Advantage staff. This is available to view HERE.

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