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Investigating Applications on the A64FX
arXiv - CS - Performance Pub Date : 2020-09-24 , DOI: arxiv-2009.11806 Adrian Jackson, Mich\`ele Weiland, Nick Brown, Andrew Turner, Mark Parsons
arXiv - CS - Performance Pub Date : 2020-09-24 , DOI: arxiv-2009.11806 Adrian Jackson, Mich\`ele Weiland, Nick Brown, Andrew Turner, Mark Parsons
The A64FX processor from Fujitsu, being designed for computational simulation
and machine learning applications, has the potential for unprecedented
performance in HPC systems. In this paper, we evaluate the A64FX by
benchmarking against a range of production HPC platforms that cover a number of
processor technologies. We investigate the performance of complex scientific
applications across multiple nodes, as well as single node and mini-kernel
benchmarks. This paper finds that the performance of the A64FX processor across
our chosen benchmarks often significantly exceeds other platforms, even without
specific application optimisations for the processor instruction set or
hardware. However, this is not true for all the benchmarks we have undertaken.
Furthermore, the specific configuration of applications can have an impact on
the runtime and performance experienced.
中文翻译:
调查 A64FX 上的应用程序
富士通的 A64FX 处理器专为计算模拟和机器学习应用而设计,具有在 HPC 系统中实现前所未有的性能的潜力。在本文中,我们通过对涵盖多种处理器技术的一系列生产 HPC 平台进行基准测试来评估 A64FX。我们研究了跨多个节点的复杂科学应用程序的性能,以及单节点和迷你内核基准测试。本文发现 A64FX 处理器在我们选择的基准测试中的性能通常显着超过其他平台,即使没有针对处理器指令集或硬件进行特定的应用程序优化。但是,对于我们进行的所有基准测试而言,情况并非如此。此外,
更新日期:2020-09-25
中文翻译:
调查 A64FX 上的应用程序
富士通的 A64FX 处理器专为计算模拟和机器学习应用而设计,具有在 HPC 系统中实现前所未有的性能的潜力。在本文中,我们通过对涵盖多种处理器技术的一系列生产 HPC 平台进行基准测试来评估 A64FX。我们研究了跨多个节点的复杂科学应用程序的性能,以及单节点和迷你内核基准测试。本文发现 A64FX 处理器在我们选择的基准测试中的性能通常显着超过其他平台,即使没有针对处理器指令集或硬件进行特定的应用程序优化。但是,对于我们进行的所有基准测试而言,情况并非如此。此外,