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Exact String Matching is an essential issue in many computer scienceapplications. Unfortunately, the performance of Exact String Matchingalgorithms, namely, executing time, does not address the needs of theseapplications. This paper proposes a general platform for improving the existingExact String Matching algorithms executing time, called the PXSMAlg platform.The function of this platform is to parallelize the Exact String Matchingalgorithms using the MPI model over the Master or Slaves paradigms. The PXSMAlgplatform parallelization process is done by dividing the Text into severalparts and working on these parts simultaneously. This improves the executingtime of the Exact String Matching algorithms. We have simulated the PXSMAlgplatform in order to show its competence, through applying the Quick Searchalgorithm on the PXSMAlg platform. The simulation result showed significantimprovement in the Quick Search executing time, and therefore extremecompetence in the PXSMAlg platform.

An innovative platform to improve the performance of exact string matching algorithms