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Reducing the risk of blood clots by supercomputing turbulent flow

People with mechanical heart valves need blood thinners on a daily basis, because they have a higher risk of blood clots and stroke. With the help of the Piz Daint supercomputer, researchers at the University of Bern have identified the root cause of blood turbulence leading to clotting. Design optimization could greatly reduce the risk of clotting and enable these patients to live without life-long medication.

Predictive Data Science for Physical Systems: From Model Reduction to Scientific Machine Learning

Karen Willcox from the University of Texas gave this Invited Talk at SC19. “This talk highlights how physics-based models and data together unlock predictive modeling approaches through two examples: first, building a Digital Twin for structural health monitoring of an unmanned aerial vehicle, and second, learning low-dimensional models to speed up computational simulations for design of next-generation rocket engines.”

CFD Leader NUMECA adopts Advania Data Centers for HPC-as-a-Service

Today Advania Data Centers (ADC) announced a strategic HPC service partnership with NUMECA International, a market leader in computational fluid dynamics CFD, multiphysics and optimization. “This HPCaaS partnership allows NUMECA to concentrate on its core software developments and support activities while ADC handles its HPC cluster management, power and cooling — ensuring peak performance at all times based on their Intel Xeon Scalable processor-based infrastructure.”

Video: Large scale industrial simulations using HPC at Rolls-Royce

Leigh Lapworth from Rolls-Royce gave this talk at m Computing Systems Week Edinburgh 2019. “Simulation and modeling, enabled by high performance computing, have transformed the way Rolls-Royce designs and engineers its products. Every advance in computing power unlocks the power to do more with simulation and modeling whether this is larger models to give higher fidelity; or, higher throughput of models to explore a larger part of the design space.”

Podcast: Univa Speeds CFD with SportPesa Racing Point F1 Team

In a sport that hangs in the complex balance of speed, aerodynamics and the ever-present data, SportPesa Racing Point deserves the best from its computation, which is capped at 25 teraflops. For SportPesa Racing Point, the best is Univa Grid Engine, which manages its CFD cluster up into the 97 percent range at a sustained level. “Univa help us with bringing developments and CFD developments to reality faster. So they help with efficiency with our compute power.”

Simulating Shock Turbulence Interactions on Stampede II

In this special guest feature, Jorge Salazar from TACC writes that Researchers are using XSEDE supercomputers to better understand shock turbulence interactions. “We proposed that, instead of treating the shock as a discontinuity, one needs to account for its finite thickness as in real life which may be involved as a governing parameter in, for example, amplification factors,” Donzis said.

Video: HPC for Instabilities in Aerospace Propulsion Systems

Thierry Poinsot from Toulouse Fluid Mechanics Institute gave this talk at PASC19. “This talk focuses on aerospace propulsion where optimization often leads to the occurrence of instabilities where combustion couples with acoustics, leading to unacceptable oscillations (the most famous example is the Apollo engine which required 1330 full scale tests to reach acceptable oscillation levels). The talk will show how simulation is used to control these problems, in real gas turbine engines and in rocket engines.”

Supercomputing Aerodynamics in Paralympic Cycling

A project carried out at the National University of Ireland Galway and Eindhoven University of Technology (TU/e) and KU Leuven has been exploring the role of aerodynamic science in Paralympic cycling. “This work also opens the door for world-class Paralympic athletes to have the same expertise and equipment available to them as other professional athletes. At the world championships and Paralympics where tenths of seconds can decide medals this work can unlock that vital time!”

UberCloud Publishes Compendium Of CFD Case Studies

If you are considering moving some of your HPC workload to the Cloud, nothing leads the way like a good set of case studies in your scientific domain. To this end, our good friends at the UberCloud have published their Compendium Of Case Studies In Computational Fluid Dynamics. The document includes 36 CFD case studies summarizing HPC Cloud projects that the UberCloud has performed together with the engineering community over the last six years.

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

Ebru Taylak from the UberCloud gave this talk at the Stanford HPC Conference. “A scalable platform such as the cloud, provides more accurate results, while reducing solution times. In this presentation, we will demonstrate 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”. We will explore the challenges for the specific problems, demonstrate how HPC in the Cloud helped overcome these challenges, look at the benefits, and share the learnings.”