Argonne Supercomputing, ML Power ‘IMPECCABLE’ Drug Discovery

September 15, 2022

Two and a half years later, much of the world has settled into an uneasy routine with Covid-19 thanks to a host of highly effective vaccines and a handful of ef Read more…

Argonne Deploys Polaris Supercomputer for Science in Advance of Aurora

August 9, 2022

Argonne National Laboratory has made its newest supercomputer, Polaris, available for scientific research. The system, which ranked 14th on the most recent Top500 list, is serving as a testbed for the exascale Aurora system slated for delivery in the coming months. The HPE-built Polaris system (pictured in the header) consists of 560 nodes... Read more…

Argonne Simulations Target Supersonic Turbulence

August 3, 2022

When an aircraft goes supersonic, the boundary layer of the “separation bubble” along the aircraft’s surface can be disrupted by the impact of the resulting sonic boom — and if that happens, there are significant performance losses. At Argonne National Laboratory, researchers are using supercomputing to study this shock/boundary-layer... Read more…

Argonne Supercomputer Advances Energy Storage Research

May 13, 2022

The lack of large-scale energy storage bottlenecks many sources of renewable energy, such as sunlight-reliant solar power and unpredictable wind power. Researchers from Lawrence Livermore National Laboratory (LLNL) are working on changing that, leveraging an allocation on Argonne National Laboratory’s Theta supercomputer to better understand the dynamics of ion transport that are at the core... Read more…

Exascale Watch: Aurora Installation Underway, Now Open for Reservations

May 10, 2022

Installation has begun on the Aurora supercomputer, Rick Stevens (associate director of Argonne National Laboratory) revealed today during the Intel Vision event keynote taking place in Dallas, Texas, and online. Joining Intel exec Raja Koduri on stage, Stevens confirmed that the Aurora build is underway – a major development for a system that is projected to deliver more... Read more…

Supercomputing, Paper Cutting Underpin Stretchable Electronics Research

April 11, 2022

Some wearable electronics—like sensors sewn into fabrics, or applicable “skins”—rely on the development of new, durable, stretchable electronic material Read more…

Summit Supercomputer Used to Model Classroom Covid Spread

March 10, 2022

As the world’s students return to classrooms, a general unease remains over the dynamics of Covid transmission even as the omicron variant settles into a lull Read more…

Argonne Supercomputer Powers Air Travel Covid-19 Research

March 9, 2022

The world is (once again) returning to some semblance of pre-pandemic life as the omicron variant wanes. Many are now wondering about the risk calculus for popu 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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