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Scheduling task in-trees on distributed memory systems

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1 Author(s)
S. Baskiyar ; Dept. of Comput. Sci. & Eng., Auburn Univ., AL, USA

Tree task structures occur frequently in many applications where parallelization may be desirable. We present a formal treatment of non-preemptively scheduling task trees on distributed memory multiprocessors and show that the fundamental problems of scheduling (i) a task tree in absence of any inter-task communication on a fixed number of processors and (ii) a task tree with inter-task communication on an unbounded number of processors are NP-complete. For task trees that satisfy certain constraints, we present an optimal scheduling algorithm. The algorithm is shown optimal over a wider set of task trees than previous works

Published in:

Parallel and Distributed Processing Symposium., Proceedings 15th International

Date of Conference:

Apr 2001