Grid computing in High Energy Physics using LCG: the BaBar experience

This paper presents accounts of several real case applications using grid farms with dataand functional-parallelism. For data parallelism a job submission system (EasyGrid) provided an intermediate layer between grid and user software. For functional parallelism a PVM algorithm ran user’s software in parallel as a master / slave implementation. These approaches were applied to typical particle physics applications: hadronic tau decays, searching for anti-deuterons, and neutral pion discrimination using genetic programming algorithms. Studies of performance show considerable reduction of time execution using functional gridification.

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