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Microsoft Announces New UberCloud Professional Services Offer on Azure

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

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?

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

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

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

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.

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

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.

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