Biomedical applications on the GRID: efficient management of parallel jobs

Distributed computing based on the Master-Worker and PULL interaction model is applicable to a number of applications in high energy physics, medical physics and bio-informatics. We demonstrate a realistic medical physics use-case of a dosimetric system for brachytherapy using distributed Grid resou...

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Detalles Bibliográficos
Autores principales: Moscicki, Jakub T, Guatelli, Susanna, Lee Hurng Chun, Lin, S C, Pia, Maria Grazia
Lenguaje:eng
Publicado: 2004
Materias:
Health Physics and Radiation Effects
Acceso en línea:http://cds.cern.ch/record/913828
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author Moscicki, Jakub T
Guatelli, Susanna
Lee Hurng Chun
Lin, S C
Pia, Maria Grazia
author_facet Moscicki, Jakub T
Guatelli, Susanna
Lee Hurng Chun
Lin, S C
Pia, Maria Grazia
author_sort Moscicki, Jakub T
collection CERN
description Distributed computing based on the Master-Worker and PULL interaction model is applicable to a number of applications in high energy physics, medical physics and bio-informatics. We demonstrate a realistic medical physics use-case of a dosimetric system for brachytherapy using distributed Grid resources. We present the efficient techniques for running parallel jobs in a case of the BLAST, a gene sequencing application, as well as for the Monte Carlo simulation based on Geant4. We present a strategy for improving the runtime performance and robustness of the jobs as well as for the minimization of the development time needed to migrate the applications to a distributed environment.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2004
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spelling cern-9138282019-09-30T06:29:59Zhttp://cds.cern.ch/record/913828engMoscicki, Jakub TGuatelli, SusannaLee Hurng ChunLin, S CPia, Maria GraziaBiomedical applications on the GRID: efficient management of parallel jobsHealth Physics and Radiation EffectsDistributed computing based on the Master-Worker and PULL interaction model is applicable to a number of applications in high energy physics, medical physics and bio-informatics. We demonstrate a realistic medical physics use-case of a dosimetric system for brachytherapy using distributed Grid resources. We present the efficient techniques for running parallel jobs in a case of the BLAST, a gene sequencing application, as well as for the Monte Carlo simulation based on Geant4. We present a strategy for improving the runtime performance and robustness of the jobs as well as for the minimization of the development time needed to migrate the applications to a distributed environment.oai:cds.cern.ch:9138282004
spellingShingle Health Physics and Radiation Effects
Moscicki, Jakub T
Guatelli, Susanna
Lee Hurng Chun
Lin, S C
Pia, Maria Grazia
Biomedical applications on the GRID: efficient management of parallel jobs
title Biomedical applications on the GRID: efficient management of parallel jobs
title_full Biomedical applications on the GRID: efficient management of parallel jobs
title_fullStr Biomedical applications on the GRID: efficient management of parallel jobs
title_full_unstemmed Biomedical applications on the GRID: efficient management of parallel jobs
title_short Biomedical applications on the GRID: efficient management of parallel jobs
title_sort biomedical applications on the grid: efficient management of parallel jobs
topic Health Physics and Radiation Effects
url http://cds.cern.ch/record/913828
work_keys_str_mv AT moscickijakubt biomedicalapplicationsonthegridefficientmanagementofparalleljobs
AT guatellisusanna biomedicalapplicationsonthegridefficientmanagementofparalleljobs
AT leehurngchun biomedicalapplicationsonthegridefficientmanagementofparalleljobs
AT linsc biomedicalapplicationsonthegridefficientmanagementofparalleljobs
AT piamariagrazia biomedicalapplicationsonthegridefficientmanagementofparalleljobs

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