评估NVIDIA A100安培GPU在稀疏和批处理计算中的性能

2020 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) Pub Date : 2020-11-01 DOI:10.1109/PMBS51919.2020.00009

H. Anzt, Y. M. Tsai, A. Abdelfattah, T. Cojean, J. Dongarra

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引用次数: 9

摘要

GPU加速器已经成为科学高性能计算的重要支柱，采用新型GPU硬件所获得的性能提升是显著的。在本文中，我们首先介绍了英伟达最新的服务器线GPU, A100架构，是安培一代的一部分。具体来说，我们评估了它在稀疏和批处理计算方面的性能，因为这些例程在许多科学应用中都是依赖的，并与NVIDIA以前的服务器线GPU所取得的性能进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evaluating the Performance of NVIDIA’s A100 Ampere GPU for Sparse and Batched Computations

GPU accelerators have become an Important backbone for scientific high performance-computing, and the performance advances obtained from adopting new GPU hardware are significant. In this paper we take a first look at NVIDIA’s newest server-line GPU, the A100 architecture, part of the Ampere generation. Specifically, we assess its performance for sparse and batch computations, as these routines are relied upon in many scientific applications, and compare to the performance achieved on NVIDIA’s previous server-line GPU.

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2020 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)

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