UberCloud Announces 2019 Compendium of 13 New CAE Case Studies

October 21, 2019

SUNNYVALE, Calif., Oct. 21, 2019 – UberCloud, known for its containerized engineering workflows in the cloud, and for its community cloud projects leading to engineering cloud projects, today announces the publication of its new Compendium of Engineering Cloud Case Studies.

Over the past two years we have seen tremendous growth of the interest in cloud computing in the engineering community. According to Hyperion, over 70% of HPC sites run some simulation jobs in public clouds today, up from 13% in 2011, and over 10% of all HPC jobs are now running in clouds like Microsoft Azure, Amazon AWS, and Google Cloud. Although the cloud ‘on-boarding’ process is quite well understood, some challenges still exist, like on-demand ISV software licenses for the cloud, multi-gigabyte data transfer, security concerns, lack of cloud expertise, and potentially losing control over your assets in the cloud.

“In 2015, based on our experience gained from the previous 100+ cloud experiments, we reached an important milestone when we introduced novel software container technology based on Docker containers which we applied to complex engineering CAE workflows,” said Wolfgang Gentzsch, President and co-founder of UberCloud. “Use of these HPC containers dramatically shortened cloud on-boarding times.” Today, major cloud hurdles are well understood and have mostly been resolved, and access to and use of cloud resources became as easy as the use of in-house desktop systems.

Our new 2019 annual compendium describes 13 technical computing applications in the cloud. Like its predecessors, this year’s edition draws from a select group of projects undertaken as part of the UberCloud Experiment, sponsored again by Hewlett Packard Enterprise, Intel, HPCwire, and Digital Engineering Magazine. (A more extended version of this announcement appeared in the Digital Engineering Magazine.) In the following we have briefly summarized three CAE cloud experiments to demonstrate the power of cloud for engineering and scientific applications.

Fluid-Structure Interaction of Artificial Aortic Heart Valves in the Advania Data Centers Cloud

Figure 1: The engineered valve is sutured into a self-expandable nitinol stent (left). And velocity streamlines through computational domain for half-open valve (right).

This cloud experiment has been performed by Deepanshu Sodhani, R&D Project Manager for Engineering, Modeling and Design at enmodes GmbH, a worldwide service provider in the field of medical technology. Enmodes has been supported by Dassault Systèmes, Capvidia/FlowVision, Advania Data Centers, and UberCloud, and sponsored by Hewlett Packard Enterprise and Intel. It is based on the development of Dassault’s Living Heart Model applied to Fluid-Structure Interaction of Artificial Aortic Heart Valves.

The FSI simulation model was computed using Abaqus as the structural solver and FlowVision from as the fluid solver, both codes coupled in an UberCloud HPC container. Scalability of the application up to 64 CPU cores has been studied with increasing number of cores. The model was further evaluated to predict the risk parameters to understand the correlation between the level of fidelity and resulting accuracy by carrying out a mesh convergence study over three mesh densities. The valve was modelled using 90000 finite elements, whereas the fluid domain was modelled using approx. 300,000, 900,000 and 2,700,000 finite volume cells.

Migrating Engineering Workloads to the Azure Cloud

FLSmidth is a leading supplier of engineering, equipment and service solutions to customers in mining and cement industries. In September 2018, Sam Zakrzewski from FLSmidth approached UberCloud to perform an extensive Proof of Concept; the project team designed and configure FLSmidth’s Azure cloud environment and benchmarked applications to understand engineering simulation usage of Cloud HPC resources and related CAE workflows. Multi-node runs showed excellent scalability. The ability to scale up to large number of resources enabled FLSmidth to run multiple jobs simultaneously reducing multi-job duration and significantly increasing HPC throughput for engineers.

Figure 2: FLSmidth JETFLEX kiln burner. The simulation shows a multi-phase Lagrangian CFD calculation, including solid fuel combustion.

The FLSmidth engineering team, which is distributed between locations in Copenhagen, India, South Africa, and Brazil, drafted a list of requirements of moving different simulation scenarios using ANSYS CFX and ESSS Rocky to Azure. FLSmidth currently has its own on-premises Intel Haswell-based HPE cluster with 512 cores and Infiniband FDR. In the next step, it wishes to increase its user base and upgrade the on-premises environment with cloud bursting for mission-critical applications in CFD (multi-phase, combustion) using ANSYS CFX and Fluent, STAR CCM+, and ANSYS Mechanical (static, thermal, modal, fatigue).

Overhead Electrical Power Lines Lifespan Assessment in Preventive Maintenance in the Advania Data Center Cloud

Réseau de Transport d’Électricité (RTE) is the operator of the high voltage electricity transmission network in France. With more than 100,000 kilometers of high voltage overhead lines, this network is the largest in Europe. Management of these physical assets is a top priority. The challenges are particularly high in the field of overhead conductors, as the costs of replacing them will reach several hundred million Euros annually in the coming years. Preventive Maintenance plays a major role in providing uninterrupted services and reducing outages and costs due to equipment fatigue and failures.

Figure 3: Vortex-shedding around a 2D section of an overhead electrical power transmission line.

In this project, RTE’s Fikri Hafid and Lei Zhang studied vortex-induced vibrations of overhead power lines for a better estimation of the lifespan of overhead lines. We analyzed lift and drag created by low wind speeds, and line vibrations due to cyclic stresses which cause fatigue failure of the wires. CFD Code_Saturne has been used simulating the airflow around the overhead lines, and the overall line dynamics captured by an in-house solid solver (FEM). The code coupling was used to determine interaction between the wind and the power line.

The final simulation ran on a 1000-core cluster on the Advania Data Centers cloud, simulating a 325 m overhead line. For reaching near-steady vibrations after about 55,000 computational timesteps the simulation took 431 hours or 18 days. The 55,000 computational timesteps correspond to a physical time of 55 seconds until the vibrations become stable.

About UberCloud

UberCloud enables engineers and scientists to discover, try, and buy CAE as a Service, on demand, on a pay-per-use basis. Novel CAE software containers make engineering simulations in the cloud as straight-forward as on the desktop workstation, giving the engineer full control over all hardware and software resources in the cloud, thereby dramatically increasing productivity, insight, and product quality. Learn more about UberCloud at: http://www.TheUberCloud.com.


Source: UberCloud 

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire