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POET: A tool for the analysis of the performance of parallel algorithms

Publication ,  Journal Article
Lastra, AA; Starmer, CF
Published in: Proceedings of the International Conference on Parallel Processing
December 1, 1988

The tool consists of a simple language for describing algorithms and an interpreter that determines the execution time on a given number of processors. The key concept is the separate specification of local computation and remote memory access in the algorithm description. This allows the interpreter to simulate the communications of the target parallel machine. An accurate simulation of the memory access delays, coupled with the specified amount of local computation, results in the predicted parallel execution time. Operation of the system has been validated by comparing predicted versus observed execution times for numerical algorithms on the Butterfly and Butterfly Plus parallel processors.

Duke Scholars

Published In

Proceedings of the International Conference on Parallel Processing

ISSN

0190-3918

Publication Date

December 1, 1988

Volume

1

Start / End Page

126 / 129
 

Citation

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Lastra, A. A., & Starmer, C. F. (1988). POET: A tool for the analysis of the performance of parallel algorithms. Proceedings of the International Conference on Parallel Processing, 1, 126–129.
Lastra, A. A., and C. F. Starmer. “POET: A tool for the analysis of the performance of parallel algorithms.” Proceedings of the International Conference on Parallel Processing 1 (December 1, 1988): 126–29.
Lastra AA, Starmer CF. POET: A tool for the analysis of the performance of parallel algorithms. Proceedings of the International Conference on Parallel Processing. 1988 Dec 1;1:126–9.
Lastra, A. A., and C. F. Starmer. “POET: A tool for the analysis of the performance of parallel algorithms.” Proceedings of the International Conference on Parallel Processing, vol. 1, Dec. 1988, pp. 126–29.
Lastra AA, Starmer CF. POET: A tool for the analysis of the performance of parallel algorithms. Proceedings of the International Conference on Parallel Processing. 1988 Dec 1;1:126–129.

Published In

Proceedings of the International Conference on Parallel Processing

ISSN

0190-3918

Publication Date

December 1, 1988

Volume

1

Start / End Page

126 / 129