Investigating applications on the A64FX

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publication2020 IEEE International Conference on Cluster Computing (CLUSTER)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages10
ISBN (Electronic)978-1-7281-6677-3
ISBN (Print)978-1-7281-6678-0
Publication statusPublished - 2 Nov 2020
EventIEEE Cluster 2020 - Kobe, Japan
Duration: 14 Sept 202017 Sept 2020

Publication series

ISSN (Print)1552-5244
ISSN (Electronic)2168-9253


ConferenceIEEE Cluster 2020
Abbreviated titleCluster2020
Internet address


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