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Enabling grid computing using easygrid/LCG

Enabling grid computing using easygrid/LCG. James Cunha Werner. BaBar Experiment :. US$60 million Detector installed at SLAC/ Stanford University : Thousands of measured points for each event. 3,000 million real events (1999-2005) 3,200 million Monte Carlo events.

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Enabling grid computing using easygrid/LCG

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  1. Enabling grid computing using easygrid/LCG James Cunha Werner BaBar Experiment: • US$60 million Detector installed at SLAC/ Stanford University: • Thousands of measured points for each event. • 3,000 million real events (1999-2005) • 3,200 million Monte Carlo events. • 2,500 computers in parallel running batch system • 290,000 data files • 161 Tera bytes of data EasyGrid architecture: enabling an on going experiment. • Enables conventional software • to use grid technologies: • submission • gridification algorithms • follow up/ management • results/reports recovery • Grid becomes transparent to the user. • Layer between complex LCG Middleware and user application. • Easy to use! Does not require • Training or knowledge. Easymoncar Monte Carlo Events generation Easysub Raw data analisys LCG Grid middleware Easygftp Generic data access Easyapp Generic application Easyroot Root application Functional gridification: Genetic Programming Data gridification Enabling one algorithm running in several worker nodes. Discriminate function to distinguish background from real neutral pions Enabling many copies of the same binary code run in several datasets in parallel, using GRID capabilities. Dataset File-1 File-2 … File-N User binary Results Random Pop Init Fitness evaluation Converge? Best individual LCG WN1 Generations easygrid WN2 … mutation crossover Selection 90% of all processing done in distributed fitness evaluation: WNN WN slave WN slave Searching anti-Deuteron: Raw data: 1,500 million events 1 week – 250 computer Tau decay in N neutral pions Monte Carlo generation: 5 million events Raw data: 482 million events. PVM … easygrid WN slave WN master Discrimination background/neutral pion accuracy: 82% Decrease in Processing time: Stand alone 1node/2slaves 5 nodes/10slaves 80 Ksec 47 Ksec 19 Ksec 58% 24% For more information: http://www.hep.man.ac.uk/u/jamwer

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