2022 Road Trip: NASA Ames Takes Off

November 25, 2022

I left Dallas very early Friday morning after the conclusion of SC22. I had a race with the devil to get from Dallas to Mountain View, Calif., by Sunday. Accord Read more…

NASA Spotlights Its Galaxy of HPC Activities

April 15, 2022

“HPC Matters!” was the big, bold title of a talk by Piyush Mehrotra, division chief of NASA’s Advanced Supercomputing (NAS) Division at its Ames Research Center, during the meeting of the HPC Advisory Council at Stanford last week. At the meeting, Mehrotra offered a glimpse into the state of supercomputing at NASA—and how its systems are being applied. Read more…

Winter Classic 2022: NASA Results In!

March 18, 2022

NASA hosted and mentored the twelve teams competing in the Winter Classic Invitational Student Cluster Competition last week and we’re ready to reveal the results. The student teams competed to run and optimize three subsets of the NAS Parallel benchmarks, namely BT-MZ, SP-MZ, and the ever so challenging... Read more…

NASA Supercomputers Crunch Safety Procedures for Future Moon Landing

December 15, 2021

The last moon landing occurred nearly half a century ago, in December of 1972. NASA’s Artemis III mission is looking to change that, with the agency planning Read more…

Penn State’s Exoplanet Hunt Boosted by Supercomputing

November 12, 2021

This year, Penn State launched the NEID (NN-explore Exoplanet Investigations with Doppler spectroscopy) astronomical spectrograph, part of a collaboration betwe Read more…

Space Weather Prediction Gets a Supercomputing Boost

June 9, 2021

Solar winds are a hot topic in the HPC world right now, with supercomputer-powered research spanning from the Princeton Plasma Physics Laboratory (which used Oak Ridge’s Titan system) to University College London (which used resources from the DiRAC HPC facility). One of the larger... Read more…

NCSA Supercomputer Helps Monitor Extraterrestrial Pothole

February 8, 2021

You might not be driving in space anytime soon, but one extraterrestrial pothole could still cause you a headache back on Earth. The “pothole” in question is called the South Atlantic Anomaly (SAA): a weak spot in Earth’s magnetic field that extends over South Africa, South America and... Read more…

NASA Uses Supercomputing to Measure Carbon in the World’s Trees

October 22, 2020

Trees constitute one of the world’s most important carbon sinks, pulling enormous amounts of carbon dioxide from the atmosphere and storing the carbon in thei 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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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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