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Fusion Plasma Simulation Software Couples Tokamak Core to Edge Physics
July 15, 2022
The development of a whole device model (WDM) for a fusion reactor is critical for the science of magnetically confined fusion plasmas. In the next decade, the Read more…
HPCwire Talks Exascale with Doug Kothe at Oak Ridge National Laboratory
July 6, 2022
In this one-on-one interview, Doug Kothe – associate laboratory director, Computing and Computational Sciences at Oak Ridge National Laboratory, and director Read more…
Flux Supercomputing Workload Manager Hits Milestones in Advance of Supporting Exascale Science
March 2, 2022
High-performance computing, or supercomputing, combined with new data-science approaches such as machine learning and artificial intelligence (AI) give scientis Read more…
ECP Brings Optimizations to the MPICH Library
February 22, 2022
Message Passing Interface (MPI) has been the communications backbone for distributed high-performance computing (HPC) scientific applications since its introduc Read more…
ECP: Modernizing Workflow Analysis to Assist in Supercomputer Procurements
October 8, 2021
It is well known in the high-performance computing (HPC) community that many (perhaps most) HPC workloads exhibit dynamic performance envelopes that can stress Read more…
Verifying the Universe with Exascale Computers
July 30, 2021
The ExaSky project, one of the critical Earth and Space Science applications being solved by the US Department of Energy’s (DOE’s) Exascale Computing Project (ECP), is preparing to use the nation’s forthcoming exascale supercomputers. Exascale machines will enable the ExaSky team to verify the gravitational influences, gas dynamics, and astrophysical inputs that they use to model the universe... Read more…
ECP Leads the Way to Cross-Platform Tested and Verified Compilers for HPC and Exascale Architectures
June 9, 2021
The Exascale Computing Project (ECP) is working to combine two key technologies, LLVM and continuous integration (CI), to ensure that current and future compile Read more…
Rice Oil and Gas Keynote Offers Exascale Lessons and Thoughts on Technology Uptake
March 11, 2021
For the better part of a decade the U.S. Exascale Computing Initiative (ECI) has been churning along vigorously. The first exascale supercomputer – Frontier – is expected this year, with Aurora and El Capitan to follow. How much of the exascale-derived technology will diffuse through the broader HPC landscape... Read more…
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Whitepaper
A New Standard in CAE Solutions for Manufacturing
Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.
As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.
Read this whitepaper to learn how HPE and AMD set a new standard in CAE solutions for manufacturing and can help your organization optimize performance.
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Sponsored by HPE
Whitepaper
Porting CUDA Applications to Run on AMD GPUs
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
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Sponsored by AMD
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