The construction phase of an initial solution in the GRASP method (Greedy Randomized Adaptive Search Procedure) is a generally greedy phase in computing time. This phase is already implemented on CPU sequentially as part of a master project in 2016-2017. To speed up this phase, we propose to implement it on a GPU so parallel and evaluate its performance against the CPU version.
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Implementing parallel version of Greedy Randomized Adaptive Search Procedure(Grasp) using Cuda
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