HMM: a static mapping algorithm to map parallel applications on grids

  • Authors:
  • Ranieri Baraglia;Renato Ferrini;Pierluigi Ritrovato

  • Affiliations:
  • ISTI, Institute of the Italian National Research Council;ISTI, Institute of the Italian National Research Council;CRMPA, University of Salerno

  • Venue:
  • PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
  • Year:
  • 2005

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Abstract

In this paper we present a static mapping heuristic, called Heterogeneous Multi-phase Mapping (HMM), which allows a suboptimal mapping of a parallel program onto a metacomputer to minimize the program execution time. HMM allocates parallel tasks by exploiting the information embedded in the parallelism forms used to implement an application. Moreover, it uses a local search technique together with the tabu search meta-heuristic. The experimental results show that the proposed approach performs well promising a significant potential to develop efficient mapping solutions for metacomputers.