Hauptseite > Publikationsdatenbank > Performance measurement and analysis of large-scale parallel applications on leadership computing systems > print

001     393
005     20250314084053.0
024 7 _ |2 DOI
|a 10.3233/SPR-2008-0255
024 7 _ |2 WOS
|a WOS:000272226800006
037 _ _ |a PreJuSER-393
041 _ _ |a eng
082 _ _ |a 070
084 _ _ |2 WoS
|a Computer Science, Software Engineering
100 1 _ |0 P:(DE-Juel1)132302
|a Wylie, B. J. N.
|b 0
|u FZJ
245 _ _ |a Performance measurement and analysis of large-scale parallel applications on leadership computing systems
260 _ _ |a New York, NY
|b John Wiley & Sons
|c 2008
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |0 8262
|a Scientific Programming
|v 16
|x 1058-9244
|y 2
500 _ _ |a This 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.
520 _ _ |a Developers 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.
536 _ _ |0 G:(DE-Juel1)FUEK411
|2 G:(DE-HGF)
|a Scientific Computing
|c P41
|x 0
536 _ _ |0 G:(DE-Juel-1)ATMLPP
|a ATMLPP - ATML Parallel Performance (ATMLPP)
|c ATMLPP
|x 1
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a Large-scale parallel applications and systems
653 2 0 |2 Author
|a performance measurement and analysis
700 1 _ |0 P:(DE-Juel1)132112
|a Geimer, M.
|b 1
|u FZJ
700 1 _ |0 P:(DE-Juel1)VDB1927
|a Wolf, F.
|b 2
|u FZJ
773 _ _ |0 PERI:(DE-600)2070004-0
|a 10.3233/SPR-2008-0255
|g Vol. 16
|q 16
|t Scientific programming
|v 16
|x 1058-9244
|y 2008
856 7 _ |u http://dx.doi.org/10.3233/SPR-2008-0255
909 C O |o oai:juser.fz-juelich.de:393
|p VDB
913 1 _ |0 G:(DE-Juel1)FUEK411
|a DE-HGF
|b Schlüsseltechnologien
|k P41
|l Supercomputing
|v Scientific Computing
|x 0
914 1 _ |y 2008
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|g JSC
|k JSC
|l Jülich Supercomputing Centre
|x 0
920 1 _ |0 I:(DE-Juel1)VDB1045
|g JARA
|k JARA-SIM
|l Jülich-Aachen Research Alliance - Simulation Sciences
|x 1
970 _ _ |a VDB:(DE-Juel1)100743
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a I:(DE-Juel1)VDB1045
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)VDB1045

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21