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Maximizing multiprocessor performance with the SUIF compiler

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7 Author(s)
Hall, M.W. ; USC Inf. Scis. Inst., Marina del Rey, CA, USA ; Anderson, J.M. ; Amarasinghe, S.P. ; Murphy, B.R.
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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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Computer  (Volume:29 ,  Issue: 12 )