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000155202 005__ 20250314084111.0
000155202 037__ $$aFZJ-2014-04383
000155202 1001_ $$0P:(DE-HGF)0$$aGerndt, Michael$$b0$$eCorresponding Author
000155202 1112_ $$aSeventh Workshop on Compilers for Parallel Computers$$cLinköping$$d1998-06-29 - 1998-07-01$$gCPC'98$$wSweden
000155202 245__ $$aAutomatic Performance Analysis for CRAY T3E
000155202 260__ $$c1998
000155202 29510 $$aProceedings of the Seventh Workshop on Compilers for Parallel Computers
000155202 300__ $$a69-78
000155202 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1408525802_5990
000155202 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000155202 3367_ $$033$$2EndNote$$aConference Paper
000155202 3367_ $$2ORCID$$aCONFERENCE_PAPER
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000155202 3367_ $$2BibTeX$$aINPROCEEDINGS
000155202 520__ $$aOne of the reasons why parallel programming is considered to be a difficult task is that users frequently cannot predict the performance impact of implementation decisions prior to program execution. This results in a cycle of incremental performance improvements based on runtime performance data. While gathering and analyzing performance data is supported by a large number of tools, typically interactive, the task of performance analysis is still too complex for users. This article illustrates this fact based on the current analysis support on CRAY T3E. As a consequence, we are convinced that automatic analysis tools are required to identify frequently occuring and well-defined performance problems automatically. This article describes the novel design of a generic automatic performance analysis environment called KOJAK. Besides its structure we also outline the first component, EARL, a new meta-tool designed and implemented as a programmable interface to calculate more abstract metrics from existing trace files, and to locate complex patterns describing performance problems.
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000155202 536__ $$0G:(DE-Juel-1)ATMLPP$$aATMLPP - ATML Parallel Performance (ATMLPP)$$cATMLPP$$x1
000155202 7001_ $$0P:(DE-Juel1)132199$$aMohr, Bernd$$b1$$ufzj
000155202 7001_ $$0P:(DE-HGF)0$$aPantano, Mario$$b2
000155202 7001_ $$0P:(DE-Juel1)132299$$aWolf, Felix$$b3
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000155202 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132199$$aForschungszentrum Jülich GmbH$$b1$$kFZJ
000155202 9132_ $$0G:(DE-HGF)POF3-899$$1G:(DE-HGF)POF3-890$$2G:(DE-HGF)POF3-800$$aDE-HGF$$bProgrammungebundene Forschung$$lohne Programm$$vohne Topic$$x0
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000155202 9201_ $$0I:(DE-Juel1)VDB62$$kZAM$$lZentralinstitut für Angewandte Mathematik$$x0
000155202 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x1
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