Physical optimization algorithms for mapping data to distributed-memory multiprocessors
We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA),...
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| Format: | masterThesis |
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1992
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| Online Access: | http://hdl.handle.net/10725/7959 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://dl.acm.org/citation.cfm?id=168972 |
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