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International Journal of Parallel Programming
Article . 2003 . Peer-reviewed
License: Springer Nature TDM
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International Journal of Parallel Programming
Article . 2003
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https://dx.doi.org/10.1023/a:1...
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Exploiting Distributed-Memory and Shared-Memory Parallelism on Clusters of SMPs with Data Parallel Programs

Exploiting distributed-memory and shared-memory parallelism on clusters of SMPs with data parallel programs
descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2003 English Publisher:Springer Science and Business Media LLCJournal:International Journal of Parallel Programming, volume 31, pages 3-19 (issn: 0885-7458, eissn: 1573-7640, Copyright policy )
Authors: Benkner, Siegfried; Sipkova, V.;

doi: 10.1023/a:1021782118861

Exploiting Distributed-Memory and Shared-Memory Parallelism on Clusters of SMPs with Data Parallel Programs

Abstract

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Keywords

Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.), SMP clusters, HPF, hybrid parallelization, OpenMP, MPI, Parallel algorithms in computer science, 102029 Praktische Informatik, 102029 Practical computer science

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selected citations
These citations are derived from selected sources.
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!
4
Average
Average
Average
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