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The quadratic assignment problem (QAP) is one of the most difficultcombinatorial optimization problems. An effective heuristic for obtainingapproximate solutions to the QAP is simulated annealing (SA). Here we describean SA implementation for the QAP which runs on a graphics processing unit(GPU). GPUs are composed of low cost commodity graphics chips which incombination provide a powerful platform for general purpose parallel computing.For SA runs with large numbers of iterations, we find performance 50-100 timesbetter than that of a recent non-parallel but very efficient implementation ofSA for the QAP

A GPU implementation of the Simulated Annealing Heuristic for the Quadratic Assignment Problem