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Integrating Task and Data Parallelism

Massingill, Berna (1993) Integrating Task and Data Parallelism. California Institute of Technology . (Unpublished)

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Many models of concurrency and concurrent programming have been proposed; most can be categorized as either task-parallel (based on functional decomposition) or data-parallel (based on data decomposition). Task-parallel models are most effective for expressing irregular computations; data-parallel models are most effective for expressing regular computations. Some computations, however, exhibit both regular and irregular aspects. For such computations, a better programming model is one that integrates task and data parallelism. This report describes one model of integrating task and data parallelism, some problem classes for which it is effective, and a prototype implementation.

Item Type:Report or Paper (Technical Report)
Group:Computer Science Technical Reports
Record Number:CaltechCSTR:1993.cs-tr-93-01
Persistent URL:
Usage Policy:You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format.
ID Code:26854
Deposited By: Imported from CaltechCSTR
Deposited On:14 May 2001
Last Modified:26 Dec 2012 14:07

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