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19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 8
Dynamic Critical Path Scheduling Parallel Programs onto Multiprocessors
Denver, Colorado
April 04-April 08
ISBN: 0-7695-2312-9
Mourad Hakem, LIPN, France
Franck Butelle, LIPN, France
In this paper we present an efficient algorithm for compile-time scheduling and clustering of parallel programs onto parallel processing systems with distributed memory, which is called The Dynamic Critical Path Scheduling DCPS. The DCPS is superior to several other algorithms from the literature in terms of computational complexity, processors consumption and solution quality. DCPS has a time complexity of O(e + v log v), as opposed to DSC algorithm O((e + v) log v) which is the best known algorithm.
Index Terms:
scheduling, clustering, distributed computing, precedence task graphs, directed acyclic graphs DAGs, parallel scheduling
Citation:
Mourad Hakem, Franck Butelle, "Dynamic Critical Path Scheduling Parallel Programs onto Multiprocessors," ipdps, vol. 9, pp.203b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 8, 2005
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