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JSSPP
2009
Springer

Limits of Work-Stealing Scheduling

14 years 6 months ago
Limits of Work-Stealing Scheduling
The number of applications with many parallel cooperating processes is steadily increasing, and developing efficient runtimes for their execution is an important task. Several frameworks have been developed, such as MapReduce and Dryad, but developing scheduling mechanisms that take into account processing and communication requirements is hard. In this paper, we explore the limits of work stealing scheduler, which has empirically been shown to perform well, and evaluate loadbalancing based on graph partitioning as an orthogonal approach. All the algorithms are implemented in our Nornir runtime system, and our experiments on a multi-core workstation machine show that the main cause of performance degradation of work stealing is when very little processing time, which we quantify exactly, is performed per message. This is the type of workload in which graph partitioning has the potential to achieve better performance than work-stealing.
Zeljko Vrba, Håvard Espeland, Pål Halv
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where JSSPP
Authors Zeljko Vrba, Håvard Espeland, Pål Halvorsen, Carsten Griwodz
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