Divisible load scheduling with result collection on heterogeneous systems

Abhay Ghatpande, Hidenori Nakazato, Hiroshi Watanabe, Olivier Beaumont

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    Divisible Load Theory (DLT) is an established mathematical framework to study Divisible Load Scheduling (DLS). However, traditional DLT does not comprehensively deal with the scheduling of results back to source (i.e., result collection) on heterogeneous systems. In this paper, the DLSRCHETS (DLS with Result Collection on HETerogeneous Systems) problem is addressed. The few papers to date that have dealt with DLSRCHETS, proposed simplistic LIFO (Last In, First Out) and FIFO (First In, First Out) type of schedules as solutions to DLSRCHETS. In this paper, a new heuristic algorithm, ITERLP, is proposed as a solution to the DLSRCHETS problem. With the help of simulations, it is proved that the performance of ITERLP is significantly better than existing algorithms.

    Original languageEnglish
    Title of host publicationIPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
    DOIs
    Publication statusPublished - 2008
    EventIPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium - Miami, FL
    Duration: 2008 Apr 142008 Apr 18

    Other

    OtherIPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium
    CityMiami, FL
    Period08/4/1408/4/18

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    ASJC Scopus subject areas

    • Hardware and Architecture
    • Software
    • Electrical and Electronic Engineering

    Cite this

    Ghatpande, A., Nakazato, H., Watanabe, H., & Beaumont, O. (2008). Divisible load scheduling with result collection on heterogeneous systems. In IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM [4536162] https://doi.org/10.1109/IPDPS.2008.4536162