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UberCloud Voice September 2016

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

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

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

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

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

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

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

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

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

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.

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