Activity in PythonPDEVS

Activity in PythonPDEVS

We introduce an activity-enhanced version of PythonPDEVS, a Parallel DEVS simulator. PythonPDEVS supports both sequential and distributed simulation. Both sequential and distributed variants of PythonPDEVS exploit information about computational activity to reduce simulation time. DEVS models can b...

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Bibliographic Details
Main Authors: Van Tendeloo Yentl, Vangheluwe Hans
Format: Article
Language:English
Published: EDP Sciences 2014-01-01
Series:ITM Web of Conferences
Online Access:http://dx.doi.org/10.1051/itmconf/20140301002
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spelling doaj-f6c70df60ae844c39f200069a7698e962021-02-02T03:09:35ZengEDP SciencesITM Web of Conferences2271-20972014-01-0130100210.1051/itmconf/20140301002itmconf_actims2014_01002Activity in PythonPDEVSVan Tendeloo Yentl0Vangheluwe HansUniversity of Antwerp We introduce an activity-enhanced version of PythonPDEVS, a Parallel DEVS simulator. PythonPDEVS supports both sequential and distributed simulation. Both sequential and distributed variants of PythonPDEVS exploit information about computational activity to reduce simulation time. DEVS models can be augmented by the user with domain-specific information about computational load. This information is used by the simulator to improve performance. http://dx.doi.org/10.1051/itmconf/20140301002
collection DOAJ
language English
format Article
sources DOAJ
author Van Tendeloo Yentl
Vangheluwe Hans
spellingShingle Van Tendeloo Yentl
Vangheluwe Hans
Activity in PythonPDEVS
ITM Web of Conferences
author_facet Van Tendeloo Yentl
Vangheluwe Hans
author_sort Van Tendeloo Yentl
title Activity in PythonPDEVS
title_short Activity in PythonPDEVS
title_full Activity in PythonPDEVS
title_fullStr Activity in PythonPDEVS
title_full_unstemmed Activity in PythonPDEVS
title_sort activity in pythonpdevs
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2014-01-01
description We introduce an activity-enhanced version of PythonPDEVS, a Parallel DEVS simulator. PythonPDEVS supports both sequential and distributed simulation. Both sequential and distributed variants of PythonPDEVS exploit information about computational activity to reduce simulation time. DEVS models can be augmented by the user with domain-specific information about computational load. This information is used by the simulator to improve performance.
url http://dx.doi.org/10.1051/itmconf/20140301002
work_keys_str_mv AT vantendelooyentl activityinpythonpdevs
AT vangheluwehans activityinpythonpdevs
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