2022 Gordon Bell Prize Goes to Plasma Accelerator Research

November 17, 2022

At the awards ceremony at SC22 in Dallas today, ACM awarded the 2022 ACM Gordon Bell Prize to a team of researchers who used four major supercomputers – inclu Read more…

US Pursues Next-gen Exascale Systems with 5-10x the Performance of Frontier

June 28, 2022

With the Linpack exaflops milestone achieved by the Frontier supercomputer at Oak Ridge National Laboratory, the United States is turning its attention to the next crop of exascale machines, some 5-10x more performant than Frontier. At least one such system is being planned for the 2025-2030 timeline, and the DOE is soliciting input from the vendor community... Read more…

Supercomputers Project Wetter San Francisco Storms in a Future Climate

May 4, 2022

With climate change dramatically accelerating, scientists continue to struggle to predict the shape of a substantially warmer world. This is particularly true with regard to weather and storms, which – due to the granular, mercurial processes at play – elude climate scientists more than, say, ice melt projections. Recently, a climate study commissioned by the City and County of San Francisco... Read more…

AI for Science – Early Lessons from NERSC’s Perlmutter Supercomputer

April 28, 2022

Roughly a year ago the National Energy Research Scientific Computing Center (NERSC) launched Perlmutter, which was hailed at the time as the “world’s fastest AI supercomputer” by Nvidia whose GPUs provide much of Perlmutter’s power. Since then, NERSC has been aggressively ramping up its mixed AI-HPC workload capability – software, early science apps... Read more…

What’s New in HPC Research: HipBone, GPU-Aware Asynchronous Tasks, Autotuning & More

March 10, 2022

In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programmin Read more…

Berkeley Lab Debuts Perlmutter, World’s Fastest AI Supercomputer

May 27, 2021

A ribbon-cutting ceremony held virtually at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) today marked the official launch of Perlmutter – aka NERSC-9 – the GPU-accelerated supercomputer built by HPE in partnership with Nvidia and AMD. Read more…

Supercomputers Illuminate Supernova Formation

March 6, 2021

Supernovae are perhaps the galaxy’s best fireworks shows, with dying stars’ death rattles coming in the form of unimaginably large explosions. Astrophysicis Read more…

SC20 Panel – OK, You Hate Storage Tiering. What’s Next Then?

November 25, 2020

Tiering in HPC storage has a bad rep. No one likes it. It complicates things and slows I/O. At least one storage technology newcomer – VAST Data – advocates dumping the whole idea. One large-scale user, NERSC storage architect Glenn Lockwood sort of agrees. The challenge, of course, is that tiering... 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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