Performance and power analysis of SX-ACE Using HP-X benchmark programs

Ryusuke Egawa, Kazuhiko Komatsu, Yoko Isobe, Toshihiro Kato, Souya Fujimoto, Hiroyuki Takizawa, Akihiro Musa, Hiroaki Kobayashi

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

6 Citations (Scopus)

Abstract

As the SIMD width of modern microprocessors has been widening for keeping up with the computational demand for HPC systems, recently the vector architecture comes back to spotlight. Besides, a modern vector architecture that has been keeping a large SIMD width and a high B/F ratio has survived and evolved in the HPC community. In this paper, to clarify the potential of the modern vector architecture, we present the performance and power analysis of a modern vector supercomputer SX-ACE using HP-X benchmark programs (HPL, HPCG, and HPGMG). Furthermore, the implementation and optimization of these benchmarks on SX-ACE are discussed. The evaluation results show that SX-ACE achieves the highest efficiencies in the HPGMG and HPCG ranking lists. These facts clearly indicate that the powerful vector processing mechanism with a high B/F ratio is mandatory to achieve a high sustained performance in the future HPC systems.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages693-700
Number of pages8
ISBN (Electronic)9781538623268
DOIs
Publication statusPublished - 2017 Sep 22
Event2017 IEEE International Conference on Cluster Computing, CLUSTER 2017 - Honolulu, United States
Duration: 2017 Sep 52017 Sep 8

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
Volume2017-September
ISSN (Print)1552-5244

Other

Other2017 IEEE International Conference on Cluster Computing, CLUSTER 2017
Country/TerritoryUnited States
CityHonolulu
Period17/9/517/9/8

Keywords

  • Benchmarking
  • Memory Bandwidth
  • Power consumption
  • Sustained Performance
  • Vector Architecture

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Signal Processing

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