001     155202
005     20250314084111.0
037 _ _ |a FZJ-2014-04383
100 1 _ |a Gerndt, Michael
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|e Corresponding Author
111 2 _ |a Seventh Workshop on Compilers for Parallel Computers
|g CPC'98
|c Linköping
|d 1998-06-29 - 1998-07-01
|w Sweden
245 _ _ |a Automatic Performance Analysis for CRAY T3E
260 _ _ |c 1998
295 1 0 |a Proceedings of the Seventh Workshop on Compilers for Parallel Computers
300 _ _ |a 69-78
336 7 _ |a Contribution to a conference proceedings
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336 7 _ |a Contribution to a book
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336 7 _ |a Conference Paper
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336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a INPROCEEDINGS
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520 _ _ |a One 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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536 _ _ |0 G:(DE-Juel-1)ATMLPP
|a ATMLPP - ATML Parallel Performance (ATMLPP)
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700 1 _ |a Mohr, Bernd
|0 P:(DE-Juel1)132199
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700 1 _ |a Pantano, Mario
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Wolf, Felix
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856 4 _ |u https://juser.fz-juelich.de/record/155202/files/FZJ-2014-04383.pdf
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910 1 _ |a Forschungszentrum Jülich GmbH
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