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June 18, 2008
There wasn't much suspense on which machine would nab the top spot on the June TOP500 list, which was released earlier today. Last week, IBM and LANL had already let everyone know that Roadrunner crossed the petaflop finish line first. Nonetheless, the new list portends some big changes ahead for supercomputing. Read more…
June 13, 2008
The 23rd annual International Supercomputing Conference (ISC) will bring together many of the world's leading experts in high performance computing this week in Dresden, Germany. HPCwire got an opportunity to ask conference chair Prof. Hans Meuer about the upcoming conference and his thoughts on the direction of supercomputing. Read more…
June 9, 2008
Petaflop. Sure it's just a number, but it's a big number. On June 10, IBM announced that its Roadrunner supercomputer reached a record-breaking one petaflop -- a quadrillion floating point operations per second -- using the standard Linpack benchmark. It is the first general-purpose computer to reach this milestone. 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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