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A Proposal for Task Parallelism in OpenMP

Authors: Ayguadé Parra, Eduard; Nawal, Copty; Duran González, Alejandro; Hoeflinger, Jay; Yuan, Lin; Massaioli, Federico; Ernesto, Su; +2 Authors

A Proposal for Task Parallelism in OpenMP

Abstract

This paper presents a novel proposal to define task parallelism in OpenMP. Task parallelism has been lacking in the OpenMP language for a number of years already. As we show, this makes certain kinds of applications difficult to parallelize, inefficient or both. A subcommittee of the OpenMP language committee, with representatives from a number of organizations, prepared this proposal to give OpenMP a way to handle unstructured parallelism. While defining the proposal we had three design goals: simplicity of use, simplicity of specification and consistency with the rest of OpenMP. Unfortunately, these goals were in conflict many times during our discussions. The paper describes the proposal, some of the problems we faced, the different alternatives, and the rationale for our choices. We show how to use the proposal to parallelize some of the classical examples of task parallelism, like pointer chasing and recursive functions.

Peer Reviewed

Country
Spain
Keywords

Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, :Informàtica [Àrees temàtiques de la UPC], Parallel programming (Computer science), OpenMP, Programació en paral·lel (Informàtica), Àrees temàtiques de la UPC::Informàtica, :Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC]

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visibility
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
48
Top 10%
Top 10%
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61
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