Importance of selecting data layouts in the tsunami simulation code

Takumi Kishitani, Kazuhiko Komatsu, Masayuki Sato, Akihiro Musa, Hiroaki Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Exploiting the memory performance is one of the keys to accelerate the memory-intensive applications. A way for improving the memory performance is to make memory accesses efficient. Since the memory access pattern changes depending on data layouts, it is necessary for effective memory access to choose the appropriate data layout. This paper focuses on the tsunami simulation as one of the high performance computing applications that require the high memory performance. To examine the performance variance due to the data layouts, several data layouts are applied to the tsunami simulation. From the evaluation results, this paper clarifies that the performance of the tsunami simulation is sensitive to the input data, the computing systems, and the data layouts. The execution time of the tsunami simulation with an array of structures is much longer than those with a discrete array and a structure of arrays. The performances of the discrete array and the structure of arrays are not high in specific cases but changed according to the computing systems and the input data. Based on these observations, this paper indicates the importance of the data layout selection to exploit the memory performance.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages830-837
Number of pages8
ISBN (Electronic)9781728174457
DOIs
Publication statusPublished - 2020 May
Event34th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020 - New Orleans, United States
Duration: 2020 May 182020 May 22

Publication series

NameProceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020

Conference

Conference34th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020
Country/TerritoryUnited States
CityNew Orleans
Period20/5/1820/5/22

Keywords

  • Array of structure
  • Data layout
  • Discrete array
  • Structure of array
  • Tsunami inundation forecast system
  • Tsunami simulation

Fingerprint

Dive into the research topics of 'Importance of selecting data layouts in the tsunami simulation code'. Together they form a unique fingerprint.

Cite this