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HEP@Home A Distributed Computing System Based on BOINC September - CHEP 2004 Pedro Andrade António Amorim Jaime Villate
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October 30th, 2004HEP@Home2 Overview Introduction BOINC HEP@Home ATLAS Use Case Tests and Results Conclusions
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October 30th, 2004HEP@Home3 Introduction Project participants: –Faculdade de Ciências da Universidade de Lisboa –Faculdade de Engenharia da Universidade do Porto From Grid-Brick system presented at CHEP2003 Goals: –Create a distributed computing system –Explore commodity CPU’s and disks and keep them together –Use public computing –Evaluate its use for dedicated HEP clusters.
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October 30th, 2004HEP@Home4 Overview Introduction BOINC –Description –Features –Behavior –Related Work HEP@Home ATLAS Use Case Tests and Results Conclusions
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October 30th, 2004HEP@Home5 Description Stands for Berkeley Open Infrastructure for Network Computing Generic software platform for distributed computing Developed by the SETI@Home team Based on public computing Key concepts –Project –Application –Workunit (Job) –Result
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October 30th, 2004HEP@Home6 Features Generic platform: supports many applications / projects Projects can be run simultaneously Common language applications can run as BOINC applications Fault-tolerance Monitored through a Web interface Implements security mechanisms
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October 30th, 2004HEP@Home7 Behavior Initial communication Work request –Hardware characteristics Server decides Workunit download –Application –Input files Results Upload Client makes requests, Server is passive
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October 30th, 2004HEP@Home8 Related Work Project-specific solutions: –SETI@Home –Distributed.net –Folding@Home Commercial solutions XtremWeb JXGrid
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October 30th, 2004HEP@Home9 Overview Introduction BOINC HEP@Home –Background –Additional Features –Behavior ATLAS Use Case Tests and Results Conclusions
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October 30th, 2004HEP@Home10 Background Grid-Brick project: Presented at CHEP2003 Goal was merge storage units with computing farms. Conclusions: –No central resource manager –Plug and play clients –Increase robustness –Fault-tolerant system
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October 30th, 2004HEP@Home11 Additional Features Avoid data movement User specific applications Environments –Scripts –Libraries Environments patches “get input” apps Job dependencies
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October 30th, 2004HEP@Home12 Behavior Initial communication Work request –Hardware characteristics –Available input files Server decides: –Input file exists: ok –No input file: wait, run "get input" app Workunit download: –Application –Environment / Patches Results Upload
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October 30th, 2004HEP@Home13 Overview Introduction BOINC HEP@Home ATLAS Use Case Tests and Results Conclusions
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October 30th, 2004HEP@Home14 ATLAS Use Case How can physicists use HEP@Home to run ATLAS jobs. The actors of this use case can be: –Physicist doing personal job submission –Real production Let us suppose we have: –Several ATLAS jobs to run –We know what files each job will produce and consume and how to generate or get these files. –We have computers connected to the Internet
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October 30th, 2004HEP@Home15 ATLAS Use Case Execution Steps: –Select or submit ATLAS application –Work submission: environment files (job options files, scripts, etc) environment patch input file template "get input" application result (output file) template As a result the user gets the aggregation of the produced output files as a unique output file.
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October 30th, 2004HEP@Home16 Overview Introduction BOINC HEP@Home ATLAS Use Case Tests and Results Conclusions
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October 30th, 2004HEP@Home17 Tests Based on the defined ATLAS Use Case Typical ATLAS jobs sequence using Muon events: –Generation: e events (1x) –Simulation: e/10 events (10x) –Digitization: e/10 events (10x) –Reconstruction: e/10 events (10x) Two groups of tests were defined: e = 100, e = 1000. For each group, 4 tests were made: –One simple client –Two BOINC client –Four BOINC client –Eight BOINC client
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October 30th, 2004HEP@Home18 Results - Execution Times Group A: 100 events Group B: 1000 events
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October 30th, 2004HEP@Home19 Results - Data Movement 1000 events in 8 machines: Seqx: events x00-x99
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October 30th, 2004HEP@Home20 Overview Introduction BOINC HEP@Home ATLAS Use Case Tests and Results Conclusions
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October 30th, 2004HEP@Home21 Conclusions Several BOINC projects are currently running successfully worldwide From HEP@Home tests: –Execution of user applications => more flexibility –Environments and patches => easier work submission –Heavier computation => better results –Low data movement => better results HEP@Home can be brought to physicists daily tasks with not much effort
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