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Conference Poster Year : 2012

Implementing Parallel Algorithms

J. Hrivnac
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  • PersonId : 842150

Abstract

The possible implementation of parallel algorithms will be described. - The functionality will be demonstrated using Swarm - a new experimental interactive parallel framework. - The access from several parallel-friendly scripting languages will be shown. - The benchmarks of the typical tasks used in High Energy Physics code will be provided. The talk will concentrate on using the "Fork and Join" approach, which is the default solution included in the Java 7 environment. The comparison of that approach with other alternatives will be given too.
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Dates and versions

in2p3-00701173 , version 1 (24-05-2012)

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  • HAL Id : in2p3-00701173 , version 1

Cite

J. Hrivnac. Implementing Parallel Algorithms. Computing in High Energy and Nuclear Physics (CHEP2012), May 2012, New York, United States. ⟨in2p3-00701173⟩
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