Parallel physical optimization algorithms for allocating data to multicomputer nodes
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes are presented. They are based on simulated annealing, neural networks and genetic algorithms. All three algorithms deviate from the sequential versions in order to achieve acceptable speedups. The pa...
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| Format: | article |
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1994
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| Online Access: | http://hdl.handle.net/10725/2950 http://dx.doi.org/10.1007/BF01666908 http://link.springer.com/article/10.1007/BF01666908 |
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