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Jack Dongarra: A Not So Simple Matter of Software
For a few moments, the atmosphere was more Rock Concert than Supercomputing Conference with many members of a packed audience standing, cheering, and waving signs as Jack Dongarra took the stage …
Europe’s Chip Sovereignty Altering US Chip Companies’ Exascale Approach
Europe’s sovereign approach to exascale computing is complicating plans for U.S. chipmakers to breakthrough in the market, and in the process, empowering local chipmakers. For one, a European c …
Frontier Keeps Top Supercomputer Spot, Nvidia’s H100 Debuts on List
November 14, 2022
The 60th edition of the Top500 list, revealed today at SC22 in Dallas, Texas, showcases many of the same systems as the previous installment, with Frontier stil Read more…
AMD’s Genoa CPUs Offer Up to 96 5nm Cores Across 12 Chiplets
November 10, 2022
AMD’s fourth-generation Epyc processor line has arrived, starting with the “general-purpose” architecture, called “Genoa,” the successor to third-gen Eypc Milan, which debuted in March of last year. At a launch event held today in San Francisco, AMD announced the general availability of the latest Epyc CPUs with up to 96 TSMC 5nm Zen 4 cores... Read more…
Hyperion Paints a Positive Picture of the HPC Market
November 8, 2022
Return to normalcy is too strong, but the latest portrait of the HPC market presented by Hyperion Research yesterday is a positive one. Total 2022 HPC revenue ( Read more…
Commentary: Exascale Day 2022 Is Here
October 18, 2022
Exascale Computing Project Director Doug Kothe on the significance of this year's Exascale Day. Today, Oct. 18, is Exascale Day. This date was not chosen by chance; 10/18 pays homage to the power of exascale computing, in which systems are capable of performing 1018 calculations per second. Read more…
What’s New in HPC Research: FourCastNet, GMRES Algorithm, Taskiter & More
September 15, 2022
In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programmin Read more…
Using Exascale Supercomputers to Make Clean Fusion Energy Possible
September 2, 2022
Fusion, the nuclear reaction that powers the Sun and the stars, has incredible potential as a source of safe, carbon-free and essentially limitless energy. But Read more…
DOE and ORNL Dedicate Frontier Supercomputer
August 17, 2022
“It is my privilege to welcome you to the dedication of Frontier, the supercomputer that broke the exascale barrier.” That was the introduction by Oak Ridge National Laboratory Director Thomas Zacharia, at a small, public event on August 17 to officially dedicate the supercomputer, which in May became the first system to achieve over 1.0 exaflops of 64-bit performance on the... Read more…
SC22 Unveils ACM Gordon Bell Prize Finalists
August 12, 2022
Courtesy of the schedule for the SC22 conference, we now have our first glimpse at the finalists for this year’s coveted Gordon Bell Prize. The Gordon Bell Pr Read more…
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Whitepaper
Porting CUDA Applications to Run on AMD GPUs
Giving developers the ability to write code once and use it on different platforms is important. Organizations are increasingly moving to open source and open standard solutions which can aid in code portability. AMD developed a porting solution that allows developers to port proprietary NVIDIA® CUDA® code to run on AMD graphic processing units (GPUs).
This paper describes the AMD ROCm™ open software platform which provides porting tools to convert NVIDIA CUDA code to AMD native open-source Heterogeneous Computing Interface for Portability (HIP) that can run on AMD Instinct™ accelerator hardware. The AMD solution addresses performance and portability needs of artificial intelligence (AI), machine learning (ML) and high performance computing (HPC) for application developers. Using the AMD ROCm platform, developers can port their GPU applications to run on AMD Instinct accelerators with very minimal changes to be able to run their code in both NVIDIA and AMD environments.
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Sponsored by AMD
Whitepaper
QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads
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 QCT
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Whitepaper: Porting CUDA Applications to Run on AMD GPUs
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Webcasts and webinars: Leveraging Exascale Era Technology for Advanced Computer-Aided Engineering
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SC22 is almost here: Visit AWS at booth 2425
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TotalCAE Platform makes it easy to use multi-GPU CFD solvers on-prem and cloud
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See How QCT Simplifies Job Scheduling on Converged HPC/AI Platforms at SC22
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