PROGRAM SYSTEMS: THEORY AND APPLICATIONS

12+

 

Online Scientific Journal published by the Ailamazyan Program Systems Institute of the Russian Academy of Sciences

Mathematical Foundations of Programming
Software and Hardware for Distributed Systems and Supercomputers
Artificial Intelligence, Intelligence Systems, Neural Networks

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• Содержание выпуска •
• Mathematical Foundations of Programming •
• Software and Hardware for Distributed Systems and Supercomputers •
• Artificial Intelligence, Intelligence Systems, Neural Networks •

Software and Hardware for Distributed Systems and Supercomputers

Responsible for the Section: Sergei Abramov, Dr. Phys.-Math.Sci., corresponding member of RAS

On the left: assigned number of the paper, submission date, the number of A5 pages contained in the paper, and the reference to the full-text PDF .

 

Article # 3_2022

67 p.

PDF

submitted on 17th Dec 2021 displayed on website on 22th  Feb 2022

Mikhail Borisovich Kuzminsky
Modern server ARM processors for supercomputers: A64FX and others Initial data of benchmarks

A comparative analysis of the performance of ARM server processors used on supercomputers or also aimed at high-performance computing (HPC) is given. Fujitsu A64FX, Marvell ThunderX2 and Huawei Kunpeng 920 were selected for the initial performance analysis. The HPC performance review focuses primarily on benchmarks and applications for the A64FX, which supports longer vectors than other ARM processors and has higher peak performance. The performance of the A64FX is compared against corresponding data for Intel Xeon Skylake and Cascade Lake, and AMD EPYC with Zen 2 and 3 (Roma and Milan), as well as Nvidia V100 and A100 GPUs.
A short set of potential pros and cons of the A64FX microarchitecture has been formulated. Comparison of performance data obtained using different compilers for A64FX. Features have been formed when A64FX usually gives advantages in performance over x86-64, and when it concedes to x86-64.
It is clear that the use of A64FX in supercomputers can grow further. There is an assumption that x86-64 hegemony in HPC will decrease, in particular, due to the increased use of server ARM processors. But the analysis of A64FX and new AArch64 processors expected in the near future showed that A64FX will not necessarily lead in this process. (In Russian).

Key words: ARM, A64FX, x86-64, high performance computing, supercomputers, benchmarks.

article citation

http://psta.psiras.ru/read/psta2022_1_63-129.pdf

DOI

https://doi.org/10.25209/2079-3316-2022-13-1-63-129

Article # 4_2022

64 p.

PDF

ssubmitted on 17th Dec 2021 displayed on website on 22th  Feb 2022

Mikhail Borisovich Kuzminsky
Modern server ARM processors for supercomputers: A64FX and others Initial data of benchmarks

A comparative analysis of the performance of ARM server processors used on supercomputers or also aimed at high-performance computing (HPC) is given. Fujitsu A64FX, Marvell ThunderX2 and Huawei Kunpeng 920 were selected for the initial performance analysis. The HPC performance review focuses primarily on benchmarks and applications for the A64FX, which supports longer vectors than other ARM processors and has higher peak performance. The performance of the A64FX is compared against corresponding data for Intel Xeon Skylake and Cascade Lake, and AMD EPYC with Zen 2 and 3 (Roma and Milan), as well as Nvidia V100 and A100 GPUs.
A short set of potential pros and cons of the A64FX microarchitecture has been formulated. Comparison of performance data obtained using different compilers for A64FX. Features have been formed when A64FX usually gives advantages in performance over x86-64, and when it concedes to x86-64.
It is clear that the use of A64FX in supercomputers can grow further. There is an assumption that x86-64 hegemony in HPC will decrease, in particular, due to the increased use of server ARM processors. But the analysis of A64FX and new AArch64 processors expected in the near future showed that A64FX will not necessarily lead in this process. (In Russian).

Key words: ARM, A64FX, x86-64, high performance computing, supercomputers, benchmarks.

article citation

http://psta.psiras.ru/read/psta2022_1_131-194.pdf

DOI

https://doi.org/10.25209/2079-3316-2022-13-1-131-194

 

• Содержание выпуска •
• Mathematical Foundations of Programming •
• Software and Hardware for Distributed Systems and Supercomputers •
• Artificial Intelligence, Intelligence Systems, Neural Networks •

 

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© Electronic Scientific Journal "Program Systems: Theory and Applications" 2010-2017
© Ailamazyan Program System Institute of RAS 2010-2018