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Parallel and Distributed Processing Symposium, International (2008)
Miami, FL, USA
Apr. 14, 2008 to Apr. 18, 2008
ISBN: 978-1-4244-1693-6
pp: 1-8
Abhay Ghatpande , School of Global Information and Telecommunication Studies, Waseda University, Tokyo, Japan
Olivier Beaumont , INRIA Futurs - LaBRI, Bordeaux, France
Hidenori Nakazato , School of Global Information and Telecommunication Studies, Waseda University, Tokyo, Japan
Hiroshi Watanabe , School of Global Information and Telecommunication Studies, Waseda University, Tokyo, Japan
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.
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CITATION
Abhay Ghatpande, Olivier Beaumont, Hidenori Nakazato, Hiroshi Watanabe, "Divisible Load Scheduling with Result Collection on Heterogeneous Systems", Parallel and Distributed Processing Symposium, International, vol. 00, no. , pp. 1-8, 2008, doi:10.1109/IPDPS.2008.4536162
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