NDLI: Comparison of Static and Runtime Resource Allocation Strategies for Matrix Multiplication

Content Provider	IEEE Xplore Digital Library
Author	Beaumont, O. Eyrauld-Dubois, L. Guermouche, A. Lambert, T.
Copyright Year	2015
Description	Author affiliation: Inria, Univ. of Bordeaux - Talence, Bordeaux, France (Beaumont, O.; Eyrauld-Dubois, L.; Guermouche, A.; Lambert, T.)
Abstract	The tremendous increase in the size and heterogeneity of supercomputers makes it very difficult to predict the performance of a scheduling algorithm. In this context, relying on purely static scheduling and resource allocation strategies, that make scheduling and allocation decisions based on the dependency graph and the platform description, is expected to lead to large and unpredictable make spans whenever the behavior of the platform does not match the predictions. For this reason, the common practice in most runtime libraries is to rely on purely dynamic scheduling strategies, that make short-sighted scheduling decisions at runtime based on the estimations of the duration of the different tasks on the different available resources and on the state of the machine. In this paper, we consider the special case of Matrix Multiplication, for which a number of static allocation algorithms to minimize the amount of communications have been proposed. Through a set of extensive simulations, we analyse the behaviour of static, dynamic, and hybrid strategies, and we assess the possible benefits of introducing more static knowledge and allocation decisions in runtime libraries.
Starting Page	170
Ending Page	177
File Size	273060
Page Count	8
File Format	PDF
ISBN	9781467380119
ISSN	15506533
DOI	10.1109/SBAC-PAD.2015.10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-17
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dynamic scheduling Resource management Context Runtime Analytical models Processor scheduling Graphics processing units Outer Product Scheduling Resource Allocation Dynamic Scheduling Strategies Independent Tasks Scheduling Sharing Input Files
Content Type	Text
Resource Type	Article

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