Parallel CPU and GPU computations to solve the job shop scheduling problem with blocking

Abdelhakim AitZai, Adel Dabah, Mourad Boudhar
Faculty of Electronics and Computer Science, University of Sciences and Technology HOUARI BOUMEDIENNE, Algiers, Algeria
IEEE High Performance Extreme Computing Conference(HPEC ’13), 2013

   title={Parallel CPU and GPU computations to solve the job shop scheduling problem with blocking},

   author={AitZai, Abdelhakim and Boudhar, Mourad and Dabah, Adel},



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In this paper, we studied the parallelization of an exact method to solve the job shop scheduling problem with blocking JSB. We used a modeling based on graph theory exploiting the alternative graphs. We have proposed an original parallelization technique for performing a parallel computation in the various branches of the search tree. This technique is implemented on computers network, where the number of computers is not limited. Its advantage is that it uses a new concept that is the logical ring combined with the notion of token. We also proposed two different paradigms of parallelization with genetic algorithms. The first uses a network of computers and the second uses GPU with CUDA technology. The results are very interesting. In addition, we see a very significant reduction of computation time compared to the sequential method.
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