NDLI: Exploring Weak Dependencies in DAG Scheduling

Content Provider	IEEE Xplore Digital Library
Author	Nam Ma Yinglong Xia Prasanna, V.K.
Copyright Year	2011
Abstract	Many computational solutions can be expressed as directed acyclic graphs (DAGs) with weighted nodes. In parallel computing, a fundamental challenge is to efficiently map computing resources to the tasks, while preserving the precedence constraints among the tasks. Traditionally, such constraints are preserved by starting a task after all its preceding tasks are completed. However, for a class of DAG structured computations, a task can be partially executed with respect to each preceding task. We define such relationship between the tasks as weak dependency. %A typical example is exact inference in junction trees, where a clique can be partially updated with respect to any one of its preceding cliques. In this paper, we adapt a traditional DAG scheduling scheme to exploit weak dependencies in a DAG. We perform experiments to study the impact of weak dependency based scheduling method on the execution time using a representative set of task graphs for exact inference in junction trees. For a class of task graphs, on a state-of-the-art general-purpose multicore system, the weak dependency based scheduler runs 4x faster than a baseline scheduler that is based on the traditional scheduling method.
Starting Page	591
Ending Page	598
File Size	965685
Page Count	8
File Format	PDF
ISBN	9781612844251
ISSN	15302075
DOI	10.1109/IPDPS.2011.204
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Program processors Processor scheduling Multicore processing Vegetation Scheduling Junctions
Content Type	Text
Resource Type	Article

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