Presentation 2015-01-30
Relaxing constraint conditions in parallelizing compiler based on polyhedral model
Toma OGATA, Hidehiro NAKANO, Arata MIYAUTI,
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Abstract(in English) Recently, it is general that computer has more than one processor inside and it is important to parallelize program to improve performance. Polyhedral model is one of model used on automatic parallelizer. On this model, dependence analysis, scheduling and parallelization are performed based on algebra. However, conventional scheme can optimize loops only if all dependence inside loop can be accurately represented by algebra. Therefore, only simple loops like matrix operation can be optimized. On this paper, we propose scheme which relax constraint conditions by extracting dependence conservatively, and extend applicable range of polyhedral model. We also discuss about performance of proposed scheme by experiments using benchmark.
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Keyword(in English) Compiler / Parallellization / Polyhedral Model
Paper # VLD2014-142,CPSY2014-151,RECONF2014-75
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Committee RECONF
Conference Date 2015/1/22(1days)
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Language JPN
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Title (in English) Relaxing constraint conditions in parallelizing compiler based on polyhedral model
Sub Title (in English)
Keyword(1) Compiler
Keyword(2) Parallellization
Keyword(3) Polyhedral Model
1st Author's Name Toma OGATA
1st Author's Affiliation Tokyo City University()
2nd Author's Name Hidehiro NAKANO
2nd Author's Affiliation Tokyo City University
3rd Author's Name Arata MIYAUTI
3rd Author's Affiliation Tokyo City University
Date 2015-01-30
Paper # VLD2014-142,CPSY2014-151,RECONF2014-75
Volume (vol) vol.114
Number (no) 428
Page pp.pp.-
#Pages 6
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