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Loop-level parallelism in numeric and symbolic programs

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1 Author(s)
Larus, J.R. ; Dept. of Comput. Sci., Wisconsin Univ., Madison, WI, USA

A new technique for estimating and understanding the speed improvement that can result from executing a program on a parallel computer is described. The technique requires no additional programming and minimal effort by a program's author. The analysis begins by tracing a sequential program. A parallelism analyzer uses information from the trace to simulate parallel execution of the program. In addition to predicting parallel performance, the parallelism analyzer measures many aspects of a program's dynamic behavior. Measurements of six substantial programs are presented. These results indicate that the three symbolic programs differ substantially from the numeric programs and, as a consequence, cannot be automatically parallelized with the same compilation techniques

Published in:

Parallel and Distributed Systems, IEEE Transactions on  (Volume:4 ,  Issue: 7 )

Date of Publication:

Jul 1993

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