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Abstract
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 language | English |
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Title of host publication | 2020 IEEE International Conference on Cluster Computing (CLUSTER) |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 549-558 |
Number of pages | 10 |
ISBN (Electronic) | 978-1-7281-6677-3 |
ISBN (Print) | 978-1-7281-6678-0 |
DOIs | |
Publication status | Published - 2 Nov 2020 |
Event | IEEE Cluster 2020 - Kobe, Japan Duration: 14 Sept 2020 → 17 Sept 2020 https://clustercomp.org/2020/ |
Publication series
Name | |
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Publisher | IEEE |
ISSN (Print) | 1552-5244 |
ISSN (Electronic) | 2168-9253 |
Conference
Conference | IEEE Cluster 2020 |
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Abbreviated title | Cluster2020 |
Country/Territory | Japan |
City | Kobe |
Period | 14/09/20 → 17/09/20 |
Internet address |
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