December 15, 2016
Last June tech start-up KnuEdge emerged from stealth mode to begin spreading the word about its new processor and fabric technology that’s been roughly a deca Read more…
November 20, 2012
NVIDIA, Intel and AMD were not the only chip vendors unveiling new HPC accelerators last week SC12. Texas Instruments (TI) announced a set of heterogeneous processors that they believe will offer among the best performance per watt in the industry. In this case, the chipmaker glued an ARM CPU and DSP together on the same die, offering a low-power SoC with an impressive number of FLOPS. Read more…
September 27, 2012
Spanish researcher uncovers plenty of flops per watt on TI's latest silicon. Read more…
October 27, 2011
A funny thing happened on the way to 4G telecommunications. When Texas Instruments (TI) added floating point smarts to its new digital signal processor (DSP) to support the fourth-generation wireless standard, it found itself with a commercial chip that had some of the most impressive flops/watt performance on the planet. And that got some of the folks at TI wondering if they could parlay that into the ethereal world of high performance computing. 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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