A tool for evaluating compiler-based parallelization strategies

Tejwansh S. Anand and Rajiv Gupta

Mathematics and Computers in Simulation (MATCOM), 1989, vol. 31, issue 4, 509-516

Abstract: This paper describes a knowledge-based tool being developed to study the selection of a sequence of transformations that if applied to a sequential program will result in an efficient parallel schedule. This work concentrates on parallelization of scientific programs. We expect that the experience gained from using such a tool will provide valuable insight into the interactions among the transformations. The results can then be incorporated into a restructuring compiler or an interactive tool. Various strategies are being developed to efficiently search for a fast parallel schedule.

Date: 1989
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:31:y:1989:i:4:p:509-516

DOI: 10.1016/0378-4754(89)90144-4

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