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A Parallelizing Compiler Based on Partial Evaluation

We constructed a parallelizing compiler that utilizes partial evaluation to achieve efficient parallel object code from very high-level data independent source programs. On several important scientific applications, the compiler attains parallel performance equivalent to or better than the best observed results from the manual restructuring of code. This is the first attempt to capitalize on partial evaluation's ability to expose low-level parallelism. New static scheduling techniques are used to utilize the fine-grained parallelism of the computations. The compiler maps the computation graph resulting from partial evaluation onto the Supercomputer Toolkit, an eight VLIW processor parallel computer.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/6798
Date01 July 1993
CreatorsSurati, Rajeev
Source SetsM.I.T. Theses and Dissertation
Languageen_US
Detected LanguageEnglish
Format46 p., 217789 bytes, 547869 bytes, application/octet-stream, application/pdf
RelationAITR-1377

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