Coarse grain task parallelization of earthquake simulator GMS using OSCAR compiler on various Cc-NUMA servers

Mamoru Shimaoka*, Yasutaka Wada, Keiji Kimura, Hironori Kasahara

*この研究の対応する著者

研究成果: Conference contribution

抄録

This paper proposes coarse grain task parallelization for a earthquake simulation program using Finite Difference Method to solve the wave equations in 3-D heterogeneous structure or the Ground Motion Simulator (GMS) on various cc-NUMA servers using IBM, Intel and Fujitsu multicore processors. The GMS has been developed by the National Research Institute for Earth Science and Disaster Prevention (NIED) in Japan. Earthquake wave propagation simulations are important numerical applications to save lives through damage predictions of residential areas by earthquakes. Parallel processing with strong scaling has been required to precisely calculate the simulations quickly. The proposed method uses the OSCAR compiler for exploiting coarse grain task parallelism efficiently to get scalable speed-ups with strong scaling. The OSCAR compiler can analyze data dependence and control dependence among coarse grain tasks, such as subroutines, loops and basic blocks. Moreover, locality optimizations considering the boundary calculations of FDM and a new static scheduler that enables more efficient task schedulings on cc-NUMA servers are presented. The performance evaluation shows 110 times speed-up using 128 cores against the sequential execution on a POWER7 based 128 cores cc-NUMA server Hitachi SR16000 VM1, 37.2 times speed-up using 64 cores against the sequential execution on a Xeon E7-8830 based 64 cores cc-NUMA server BS2000, 19.8 times speed-up using 32 cores against the sequential execution on a Xeon X7560 based 32 cores cc-NUMA server HA8000/RS440, 99.3 times speed-up using 128 cores against the sequential execution on a SPARC64 VII based 256 cores cc-NUMA server Fujitsu M9000, 9.42 times speed-up using 12 cores against the sequential execution on a POWER8 based 12 cores cc-NUMA server Power System S812L.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版社Springer Verlag
ページ238-253
ページ数16
9519
ISBN(印刷版)9783319297774
DOI
出版ステータスPublished - 2016
イベント28th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2015 - Raleigh, United States
継続期間: 2015 9 92015 9 11

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9519
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other28th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2015
国/地域United States
CityRaleigh
Period15/9/915/9/11

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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