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Hindsight helps: deterministic task scheduling with backtracking

Authors: Yueh-O Wang; Nancy M. Amato; Donald K. Friesen;

Hindsight helps: deterministic task scheduling with backtracking

Abstract

This paper considers the problem of scheduling a set of precedence-related tasks on a nonpreemptive homogeneous message-passing multiprocessors system in order to minimize the makespan, that is, the completion time of the last task relative to start time of the first task. We propose family of scheduling algorithms, called IPR for immediate predecessor rescheduling, which utilize one level of backtracking. We also develop a unifying framework to facilitate the comparison between our results and the various models and algorithms that have been previously studied. We show, both theoretically and experimentally, that the IPR algorithms out-perform previous algorithms in terms of both time complexity and the makespans of the resulting schedules. Moreover our simulation results indicate that the relative advantage of the IPR algorithms increases as the communication constraint is relaxed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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