Title :
Maximizing multiprocessor performance with the SUIF compiler
Author :
Hall, M.W. ; Anderson, J.M. ; Murphy, B.R. ; Shih-Wei Liao ; Bugnion, E. ; Lam, M.S.
Author_Institution :
USC Inf. Scis. Inst., Marina del Rey, CA, USA
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.
Keywords :
mathematics computing; multiprocessing systems; optimising compilers; parallelising compilers; performance evaluation; NAS; SPECfp95; SUIF compiler; Stanford University Intermediate Format compiler; array-based numerical programs; automatic parallelization techniques; benchmark programs; memory optimization techniques; multiprocessor performance; parallelizing compilers; robust analysis techniques; speedups; Cache memory; Concurrent computing; Information analysis; Multiprocessing systems; Parallel processing; Phased arrays; Privatization; Program processors; Programming profession; Throughput;
