Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Interconnection Networks: An Engineering Approach
Interconnection Networks: An Engineering Approach
Networks on chip
An evolutionary approach to collective communication scheduling
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Evolutionary design of OAB and AAB communication schedules for interconnection networks
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
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As chip multiprocessors are quickly penetrating new application areas in network and media processing, their interconnection architectures become a subject of optimization. Group communications are frequently used in many parallel algorithms and if their overhead is excessive, performance degrades rapidly with a processor count. This paper deals with the design of a new application-specific Bayesian Optimization Algorithm (BOA) and the use of BOA and HSGA (Hybrid parallel Genetic Simulated Annealing) to design optimal communication algorithms for an arbitrary topology of the interconnection network. Each of these algorithms is targeted for a different switching technique. The group communication schedules were designed for an asymmetrical AMP network on one hand and for the benchmark hypercube network on the other, using SF (Store-and-Forward) and WH (Wormhole) switching.