First Impressions of the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper Superchip for Scientific Workloads
First Impressions of the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper Superchip for Scientific Workloads
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针对科学工作负载的 NVIDIA Grace CPU 超级芯片和 NVIDIA Grace Hopper 超级芯片的第一印象
DOI:
10.1145/3636480.3637097
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发表时间:
2024
期刊:
影响因子:
--
通讯作者:
Harrison, Robert J.
中科院分区:
文献类型:
--
作者:
Simakov, Nikolay A.;Jones, Matthew D.;Furlani, Thomas R.;Siegmann, Eva;Harrison, Robert J.
The engineering samples of the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper Superchips were tested using different benchmarks and scientific applications. The benchmarks include HPCC and HPCG. The real application-based benchmark includes AI-Benchmark-Alpha (a TensorFlow benchmark), Gromacs, OpenFOAM, and ROMS. The performance was compared to multiple Intel, AMD, ARM CPUs and several x86 with NVIDIA GPU systems. A brief energy efficiency estimate was performed based on TDP values. We found that in HPCC benchmark tests, the per-core performance of Grace is similar to or faster than AMD Milan cores, and the high core count often allows NVIDIA Grace CPU Superchip to have per-node performance similar to Intel Sapphire Rapids with High Bandwidth Memory: slower in matrix multiplication (by 17%) and FFT (by 6%), faster in Linpack (by 9%)). In scientific applications, the NVIDIA Grace CPU Superchip performance is slower by 6% to 18% in Gromacs, faster by 7% in OpenFOAM, and right between HBM and DDR modes of Intel Sapphire Rapids in ROMS. The combined CPU-GPU performance in Gromacs is significantly faster (by 20% to 117% faster) than any tested x86-NVIDIA GPU system. Overall, the new NVIDIA Grace Hopper Superchip and NVIDIA Grace CPU Superchip Superchip are high-performance and most likely energy-efficient solutions for HPC centers.
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影响因子:
3
作者:
Kutzner, Carsten;Pall, Szilard;Fechner, Martin;Esztermann, Ansgar;de Groot, Bert L.;Grubmueller, Helmut
通讯作者:
Grubmueller, Helmut
DOI:
10.1002/cpe.5110
发表时间:
2019
期刊:
Concurrency and Computation: Practice and Experience
影响因子:
--
作者:
Simon McIntosh;J. Price;Tom Deakin;Andrei Poenaru
通讯作者:
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DOI:
10.1145/2484762.2484763
发表时间:
2013
期刊:
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery (XSEDE '13
影响因子:
--
作者:
Furlani, Thomas R.;Schneider, Barry L.;Jones, Matthew D.;Towns, John;Hart, David L.;Gallo, Steven M.;DeLeon, Robert L.;Lu, Charng-Da;Ghadersohi, Amin;Gentner, Ryan J.
通讯作者:
Gentner, Ryan J.
DOI:
--
发表时间:
2021
期刊:
Practice and Experience in Advanced Research Computing
影响因子:
--
作者:
Michael L. Norman;Vince Kellen;Shava Smallen;Brian DeMeulle;Shawn M. Strande;Ed Lazowska;Naomi Alterman;R. Fatland;S. Stone;Amanda Tan;K. Yelick;Eric Van Dusen;James Mitchell
通讯作者:
James Mitchell
DOI:
10.1145/3581576.3581618
发表时间:
2023-02
期刊:
Proceedings of the HPC Asia 2023 Workshops
影响因子:
--
作者:
N. Simakov;R. L. Deleon;Joseph P. White;Matthew D. Jones;T. Furlani;E. Siegmann;R. J. Harrison
通讯作者:
N. Simakov;R. L. Deleon;Joseph P. White;Matthew D. Jones;T. Furlani;E. Siegmann;R. J. Harrison