Dynamic Partitioning of GATE Monte-Carlo Simulations on EGEE |
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Authors: | Sorina Camarasu-Pop Tristan Glatard Jakub T Mo?cicki Hugues Benoit-Cattin David Sarrut |
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Affiliation: | 1.Creatis,Université de Lyon, CNRS, Inserm,Villeurbanne Cedex,France;2.Creatis,Université de Lyon, CNRS, Inserm,Lyon cedex 08,France;3.CERN,Geneva,Switzerland |
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Abstract: | The EGEE Grid offers the necessary infrastructure and resources for reducing the running time of particle tracking Monte-Carlo
applications like GATE. However, efforts are required to achieve reliable and efficient execution and to provide execution
frameworks to end-users. This paper presents results obtained with porting the GATE software on the EGEE Grid, our ultimate
goal being to provide reliable, user-friendly and fast execution of GATE to radiation therapy researchers. To address these
requirements, we propose a new parallelization scheme based on a dynamic partitioning and its implementation in two different
frameworks using pilot jobs and workflows. Results show that pilot jobs bring strong improvement w.r.t. regular gLite submission,
that the proposed dynamic partitioning algorithm further reduces execution time by a factor of two and that the genericity
and user-friendliness offered by the workflow implementation do not introduce significant overhead. |
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