Oracle announced today that Nissan Motor Co. is migrating its on-premises engineering simulation HPC workloads to run on the Oracle Cloud Infrastructure. Nissan uses computational fluid dynamics (CFD) and structural simulation techniques to design and test cars for external aerodynamics and structural failures. Oracle said Nissan chose its cloud platform for its bare-metal compute, RDMA […]
Search Results for: cfd
The Hyperion-insideHPC Interviews: Rich Brueckner and Doug Ball Talk CFD, Autonomous Mobility and Driving Down HPC Package Sizing
July 3, 2020 by
Doug Ball is a leading expert in computational fluid dynamics and aerodynamic engineering, disciplines he became involved with more than 40 years ago. In this interview with the late Rich Brueckner of insideHPC, Ball discusses the increased scale and model complexity that HPC technology has come to handle and, looking to the future, his anticipation […]
CFD Leader NUMECA adopts Advania Data Centers for HPC-as-a-Service
November 21, 2019 by
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.”
Podcast: Univa Speeds CFD with SportPesa Racing Point F1 Team
October 23, 2019 by
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.”
Innovative Use of HPC in the Cloud for AI, CFD, & LifeScience
February 25, 2019 by
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.”
Video: Powered by GPUs, Altair and Oracle Accelerate CFD in the Cloud
October 24, 2018 by
Today Altair and Oracle announced a joint HPC Cloud solution that leverages GPU technology for exceptional CFD simulation performance. Now part of the Oracle Cloud Infrastructure, the technology effectively accelerates external aerodynamics and other complex flow simulations at scale and at reasonable cost. “The integration with Oracle’s cloud platform addresses this challenge, and provides customers the ability to use GPU-based solvers in the cloud for accelerated performance without the need to purchase expensive hardware.”
ExaFLOW Project takes on High-order CFD
October 15, 2018 by
After three years of working on key algorithmic challenges in CFD, the European ExaFLOW Project it touting a series of industry milestones. With three flagship runs, ExaFLOW has managed to work on different specific CFD use cases which highlight the importance of their outcomes for both industry and academia. “After three years of working on key algorithmic challenges in CFD, the European ExaFLOW Project it touting a series of industry milestones. With three flagship runs, ExaFLOW has managed to work on different specific CFD use cases which highlight the importance of their outcomes for both industry and academia.”
Data Science meets CFD: FieldView Analytics in Engineering
September 22, 2018 by
Steve Legensky from Intelligent Light gave this talk at the HPC User Forum in Detroit. “CFD may be complex, but Intelligent Light’s goal is simple: our customers’ success. Intelligent Light solutions unlock the power and value of a highly productive CFD workflow for engineering and research organizations in variety of industries around the world.”
Numeca Migrates CFD to the UberCloud with Advania
July 3, 2018 by
CFD solution company Numeca International is expanding HPC offerings to run in the cloud and on demand. With help from Advania and the UberCloud, this capability will make it easer for Numeca customers 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. “Until recently it was my firm belief that cloud computing for engineering applications was one of the next big challenges we had to solve,” says Professor Charles Hirsch, President and founder of NUMECA International, and a world-renowned expert on Computational Fluid Dynamics. “But when we came across UberCloud’s new application HPC 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. We were also impressed by the flexibility of Advania to be able to respond to our immediate and future needs, by providing an HPC structure fit to our client’s demands.”
Maximizing Performance of HiFUN* CFD Solver on Intel® Xeon® Scalable Processor With Intel MPI Library
June 12, 2018 by
The HiFUN CFD solver shows that the latest-generation Intel Xeon Scalable processor enhances single-node performance due to the availability of large cache, higher core density per CPU, higher memory speed, and larger memory bandwidth. The higher core density improves intra-node parallel performance that permits users to build more compact clusters for a given number of processor cores. This permits the HiFUN solver to exploit better cache utilization that contributes to super-linear performance gained through the combination of a high-performance interconnect between nodes and the highly-optimized Intel® MPI Library.
