August 18, 2022
Thanks to a grant from the National Science Foundation, Oklahoma State University (OSU) will be building a new supercomputer. The as-yet unnamed system will succeed OSU’s existing system, which is simply named “Pete.” “This is a big moment for OSU and the High Performance Computing Center (HPCC),” said Pratul Agarwal, assistant vice president of research cyberinfrastructure and... Read more…
August 9, 2021
The NSF has announced a new institute, funded to the tune of tens of millions of dollars and supported by a series of major supercomputer centers: ICICLE. “ICICLE,” which is shorthand for the AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment, aims... Read more…
January 7, 2021
Steel is critical to a wide range of humanity’s infrastructure, from cars and trains to skyscrapers and bridges. Corrosion, however, throws a wrench in the wo Read more…
April 14, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover Bull's third petascale computing contract; IBM's new POWER7 servers, the first hybrid spintronics computer chips, Bull and Whamcloud's beefed-up Lustre support; and Tilera's latest manycore development tools. Read more…
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.
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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