Performance of OSCAR multigrain parallelizing compiler on SMP servers

Kazuhisa Ishizaka*, Takamichi Miyamoto, Jun Shirako, Motoki Obata, Keiji Kimura, Hironori Kasahara

*この研究の対応する著者

研究成果: Conference article査読

5 被引用数 (Scopus)

抄録

This paper describes performance of OSCAR multigrain parallelizing compiler on various SMP servers, such as IBM pSeries 690, Sun Fire V880, Sun Ultra 80, NEC TX7/i6010 and SGI Altix 3700. The OSCAR compiler hierarchically exploits the coarse grain task parallelism among loops, subroutines and basic blocks and the near fine grain parallelism among statements inside a basic block in addition to the loop parallelism. Also, it allows us global cache optimization over different loops, or coarse grain tasks, based on data localization technique with inter-array padding to reduce memory access overhead. Current performance of OSCAR compiler is evaluated on the above SMP servers. For example, the OSCAR compiler generating OpenMP parallelized programs from ordinary sequential Fortran programs gives us 5.7 times speedup, in the average of seven programs, such as SPEC CFP95 tomcatv, swim, su2cor, hydro2d, mgrid, applu and turb3d, compared with IBM XL Fortran compiler 8.1 on IBM pSeries 690 24 processors SMP server. Also, it gives us 2.6 times speedup compare with Intel Fortran Itanium Compiler 7.1 on SGI Altix 3700 Itanium 2 16 processors server, 1.7 times speedup compared with NEC Fortran Itanium Compiler 3.4 on NEC TX7/i6010 Itanium 2 8 processors server, 2.5 times speedup compared with Sun Forte 7.0 on Sun Ultra 80 UltraSPARC II 4 processors desktop workstation, and 2.1 times speedup compare with Sun Forte compiler 7.1 on Sun Fire V880 UltraSPARC III Cu 8 processors server.

本文言語English
ページ(範囲)319-331
ページ数13
ジャーナルLECTURE NOTES IN COMPUTER SCIENCE
3602
DOI
出版ステータスPublished - 2005
イベント17th International Workshop on Languages and Compilers for High Performance Computing, LCPC 2004 - West Lafayette, IN, United States
継続期間: 2004 9月 222004 9月 24

ASJC Scopus subject areas

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

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