Implementing Parallel Algorithms

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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Additional Info

Field Value
Source Computing in High Energy and Nuclear Physics (CHEP2012)
Author Hrivnac, J.
Maintainer CCSD
Last Updated May 17, 2026, 04:37 (UTC)
Created May 17, 2026, 04:37 (UTC)
Identifier in2p3-00701173
Language en
contributor Laboratoire de l'Accélérateur Linéaire (LAL) ; Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
coverage New York, United States
creator Hrivnac, J.
date 2012-05-21T00:00:00
harvest_object_id 309d44ca-3ccd-421e-be5d-b88508e8e4c9
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-04-11T00:00:00
set_spec type:POSTER