Allocating data to distributed-memory multiprocessors by genetic algorithms
We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. These are a sequential hybrid GA, a coarse-grain GA and a fine-grain GA. The last two are based on models of natural evolution that are suitable for parallel implementation; they have been implemented on...
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| Format: | article |
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2016
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| Online Access: | http://hdl.handle.net/10725/2947 http://dx.doi.org/10.1002/cpe.4330060602 http://onlinelibrary.wiley.com/doi/10.1002/cpe.4330060602/full |
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