NDLI: A Transformation Framework for Communicating Multiprocessor-Tasks

Content Provider	IEEE Xplore Digital Library
Author	Diimmler, J. Rauber, T. Riinger, G.
Copyright Year	2008
Description	Author affiliation: Chemnitz Univ. of Technol., Chemnitz (Diimmler, J.)
Abstract	Parallel programming models based on a mixture of task and data parallelism have shown to be successful in addressing the increasing communication overhead of distributed memory platforms with a large number of processors. In these models, an application is decomposed into a set of parallel tasks that can run on an arbitrary number of processors. The communication between different tasks is allowed only at the start and the end of a task, thus limiting the possible communication patterns and the potential granularity of the tasks. In this paper, we consider an extended parallel programming model that additionally supports communication between running parallel tasks. We describe a specification language for applications in the new programming model and propose a transformation framework for a step-wise derivation of an executable message passing program from the specification language. The advantages of the approach are demonstrated for solution methods for ordinary differential equations.
Starting Page	64
Ending Page	71
File Size	739462
Page Count	8
File Format	PDF
ISBN	9780769530895
ISSN	10666192
DOI	10.1109/PDP.2008.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-02-13
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Specification languages Parallel programming Chemical technology Computer science Parallel processing Message passing Processor scheduling Application software Differential equations Scalability parallel programming model CM-Tasks transformation framework
Content Type	Text
Resource Type	Article

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