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000000393 0247_ $$2DOI$$a10.3233/SPR-2008-0255
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000000393 041__ $$aeng
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000000393 084__ $$2WoS$$aComputer Science, Software Engineering
000000393 1001_ $$0P:(DE-Juel1)132302$$aWylie, B. J. N.$$b0$$uFZJ
000000393 245__ $$aPerformance measurement and analysis of large-scale parallel applications on leadership computing systems
000000393 260__ $$aNew York, NY$$bJohn Wiley & Sons$$c2008
000000393 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000000393 440_0 $$08262$$aScientific Programming$$v16$$x1058-9244$$y2
000000393 500__ $$aThis work was partially funded under the German Helmholtz Association Young Investigators Program under Contract No. VNG-118. Collaboration with the developers of the XNS application from RWTH Aachen University was undertaken using resources of the John von Neumann Institute for Computing as part of the first Blue Gene/L Scaling Workshop in Julich.
000000393 520__ $$aDevelopers of applications with large-scale computing requirements are currently presented with a variety of high-performance systems optimised for message-passing, however, effectively exploiting the available computing resources remains a major challenge. In addition to fundamental application scalability characteristics, application and system peculiarities often only manifest at extreme scales, requiring highly scalable performance measurement and analysis tools that are convenient to incorporate in application development and tuning activities. We present our experiences with a multigrid solver benchmark and state-of-the-art real-world applications for numerical weather prediction and computational fluid dynamics, on three quite different multi-thousand-processor supercomputer systems - Cray XT3/4, MareNostrum & Blue Gene/L - using the newly-developed SCALASCA toolset to quantify and isolate a range of significant performance issues.
000000393 536__ $$0G:(DE-Juel1)FUEK411$$2G:(DE-HGF)$$aScientific Computing$$cP41$$x0
000000393 536__ $$0G:(DE-Juel-1)ATMLPP$$aATMLPP - ATML Parallel Performance (ATMLPP)$$cATMLPP$$x1
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000000393 65320 $$2Author$$aLarge-scale parallel applications and systems
000000393 65320 $$2Author$$aperformance measurement and analysis
000000393 650_7 $$2WoSType$$aJ
000000393 7001_ $$0P:(DE-Juel1)132112$$aGeimer, M.$$b1$$uFZJ
000000393 7001_ $$0P:(DE-Juel1)VDB1927$$aWolf, F.$$b2$$uFZJ
000000393 773__ $$0PERI:(DE-600)2070004-0$$a10.3233/SPR-2008-0255$$gVol. 16$$q16$$tScientific programming$$v16$$x1058-9244$$y2008
000000393 8567_ $$uhttp://dx.doi.org/10.3233/SPR-2008-0255
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000000393 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000000393 9141_ $$y2008
000000393 9131_ $$0G:(DE-Juel1)FUEK411$$aDE-HGF$$bSchlüsseltechnologien$$kP41$$lSupercomputing$$vScientific Computing$$x0
000000393 9201_ $$0I:(DE-Juel1)JSC-20090406$$gJSC$$kJSC$$lJülich Supercomputing Centre$$x0
000000393 9201_ $$0I:(DE-Juel1)VDB1045$$gJARA$$kJARA-SIM$$lJülich-Aachen Research Alliance - Simulation Sciences$$x1
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