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Maximizing Multiprocessor Performance with the SUIF Compiler (1996)
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- [suif.stanford.edu]
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- [moss.csc.ncsu.edu]
- [moss.csc.ncsu.edu]
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| Citations: | 279 - 21 self |
BibTeX
@MISC{Hall96maximizingmultiprocessor,
author = {Mary Hall and Jennifer M. Anderson and Saman P. Amarasinghe and Brian R. Murphy and Shih-wei Liao and Edouard Bugnion and Monica S. Lam},
title = {Maximizing Multiprocessor Performance with the SUIF Compiler},
year = {1996}
}
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Abstract
This paper presents an overview of the SUIF compiler, which automatically parallelizes and optimizes sequential programs for shared-memory multiprocessors. We describe new technology in this system for locating coarse-grain parallelism and for optimizing multiprocessor memory behavior essential to obtaining good multiprocessor performance. These techniques have a significant impact on the performance of half of the NAS and SPECfp95 benchmark suites. In particular, we achieve the highest SPECfp95 ratio to date of 63.9 on an eight-processor 440MHz Digital AlphaServer. 1 Introduction Affordable shared-memory multiprocessors can potentially deliver supercomputer-like performance to the general public. Today, these machines are mainly used in a multiprogramming mode, increasing system throughput by running several independent applications in parallel. The multiple processors can also be used together to accelerate the execution of single applications. Automatic parallelization is a promis...
Keyphrases
suif compiler multiprocessor performance good multiprocessor performance shared-memory multiprocessor supercomputer-like performance single application multiprogramming mode sequential program introduction affordable shared-memory multiprocessor significant impact coarse-grain parallelism several independent application digital alphaserver new technology specfp95 ratio specfp95 benchmark suite multiple processor automatic parallelization general public multiprocessor memory
