Static Coarse Grain Task Scheduling with Cache Optimization Using OpenMP

Hirofumi Nakano, Kazuhisa Ishizaka, Motoki Obata, Keiji Kimura, Hironori Kasahara

研究成果: Article

2 引用 (Scopus)

抜粋

Effective use of cache memory is getting more important with increasing gap between the processor speed and memory access speed. Also, use of multigrain parallelism is getting more important to improve effective performance beyond the limitation of loop iteration level parallelism. Considering these factors, this paper proposes a coarse grain task static scheduling scheme considering cache optimization, The proposed scheme schedules coarse grain tasks to threads so that shared data among coarse grain tasks can be passed via cache after task and data decomposition considering cache size at compile time. It is implemented on OSCAR Fortran multigrain parallelizing compiler and evaluated on Sun Ultra80 four-processor SMP workstation using Swim and Tomcatv from the SPEC fp 95. As the results, the proposed scheme gives us 4.56 times speedup for Swim and 2.37 times on 4 processors for Tomcatv respectively against the Sun Forte HPC Ver. 6 update 1 loop parallelizing compiler.

元の言語English
ページ(範囲)211-223
ページ数13
ジャーナルInternational Journal of Parallel Programming
31
発行部数3
DOI
出版物ステータスPublished - 2003 6 1

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ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems

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