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HMM: A Static Mapping Algorithm to Map Parallel Applications on Grids

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3911))

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.

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© 2006 Springer-Verlag Berlin Heidelberg

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Baraglia, R., Ferrini, R., Ritrovato, P. (2006). HMM: A Static Mapping Algorithm to Map Parallel Applications on Grids. In: Wyrzykowski, R., Dongarra, J., Meyer, N., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2005. Lecture Notes in Computer Science, vol 3911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752578_88

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  • DOI: https://doi.org/10.1007/11752578_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34141-3

  • Online ISBN: 978-3-540-34142-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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