Maximizing multiprocessor performance with the SUIF compiler |
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| Authors: | Hall M.W. Anderson J.M. Amarasinghe S.P. Murphy B.R. Shih-Wei Liao Bu E. |
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| Affiliation: | USC Inf. Scis. Inst., Marina del Rey, CA; |
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| Abstract: | This article describes automatic parallelization techniques in the SUIF (Stanford University Intermediate Format) compiler that result in good multiprocessor performance for array-based numerical programs. Parallelizing compilers for multiprocessors face many hurdles. However, SUIF's robust analysis and memory optimization techniques enabled speedups on three fourths of the NAS and SPECfp95 benchmark programs |
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