Gordon Bell Special Prize Goes to LLM-Based Covid Variant Prediction

November 17, 2022

For three years running, ACM has awarded not only its long-standing Gordon Bell Prize (read more about this year’s winner here!) but also its Gordon Bell Spec Read more…

Top Supercomputers to Shake Up Earthquake Modeling

September 29, 2022

Two DOE-funded projects — and a bunch of top supercomputers — are converging to improve our understanding of earthquakes and enable the construction of more Read more…

Inside the Gordon Bell Prize Finalist Projects

September 7, 2022

The ACM Gordon Bell Prize, which comes with a $10,000 award courtesy of HPC luminary Gordon Bell, is widely considered the highest prize in high-performance com 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…

Top500: Fugaku Still on Top; Perlmutter Debuts at #5

June 28, 2021

The 57th Top500, revealed today from the ISC 2021 digital event, showcases many of the same systems as the previous edition, with Fugaku holding its significant lead and only one new entrant in the top 10 cohort: the Perlmutter system at the DOE Lawrence Berkeley National Laboratory enters the list at number five with 65.69 Linpack petaflops. Perlmutter is the largest... 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…

With Strong Q2 Earnings, Nvidia’s System Play Comes Into Focus

August 20, 2020

Nvidia has announced its Q2 2021 earnings: $3.87 billion, outperforming analyst expectations amid a global pandemic and showing signs of a successful (and ongoing) reorientation of its business strategy. Compared to Q2 2020, earnings were up 50 percent; compared to Q1 2021, up 26 percent. 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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