An Automatic Fusion Mechanism for Variable-Length List Skeletons in SkeTo

Skeletal parallel programming is a promising approach to easy parallel programming in which users can build parallel programs simply by combining parts of a given set of ready-made parallel computation patterns called skeletons. There is a trade-off for this easiness in the form of an efficiency pro...

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Bibliographic Details
Published in:International journal of parallel programming Vol. 42; no. 4; pp. 546 - 563
Main Authors: Emoto, Kento, Matsuzaki, Kiminori
Format: Journal Article
Language:English
Published: Boston Springer US 01.08.2014
Springer Nature B.V
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ISSN:0885-7458, 1573-7640
Online Access:Get full text
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Summary:Skeletal parallel programming is a promising approach to easy parallel programming in which users can build parallel programs simply by combining parts of a given set of ready-made parallel computation patterns called skeletons. There is a trade-off for this easiness in the form of an efficiency problem caused by the compositional style of the programming. One solution to this problem is fusion transformation that optimizes naively composed skeleton programs by eliminating redundant intermediate data structures. Several parallel skeleton libraries have automatic fusion mechanisms. However, there have been no automatic fusion mechanisms proposed for variable-length list (VLL) skeletons, even though such skeletons are useful for practical problems. The main difficulty is that previous fusion mechanisms are not applicable to VLL skeletons, and so the fusion cannot be completed. In this paper, we propose a novel fusion mechanism for VLL skeletons that can achieve both an easy programming interface and complete fusion. The proposed mechanism has been implemented in our skeleton library, SkeTo, by using the expression templates technique, experimental results have shown that it is very effective.
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ISSN:0885-7458
1573-7640
DOI:10.1007/s10766-013-0263-8