001     56460
005     20180211173528.0
024 7 _ |2 DOI
|a 10.1002/cpe.1169
024 7 _ |2 WOS
|a WOS:000251003200003
037 _ _ |a PreJuSER-56460
041 _ _ |a eng
082 _ _ |a 004
084 _ _ |2 WoS
|a Computer Science, Software Engineering
084 _ _ |2 WoS
|a Computer Science, Theory & Methods
100 1 _ |a Mohr, B.
|b 0
|u FZJ
|0 P:(DE-Juel1)132199
245 _ _ |a A Framework for Performance Analysis of Co-Array Fortran
260 _ _ |a Chichester
|b Wiley
|c 2007
300 _ _ |a 2207 - 2218
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 |a Concurrency and Computation: Practice and Experience
|x 1532-0626
|0 17301
|y 17
|v 19
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a Co-Array Fortran (CAF) is a parallel programming extension to Fortran that provides a straightforward mechanism for representing distributed memory communication and, in particular, one-sided communication. Although this integration of communication primitives with the language improves programmer productivity, this new level of abstraction makes the analysis of CAF performance mode difficult. This situation is due, in part, to a lack of tools for the analysis of CAF applications. In this paper, we present an extension to the KOJAK toolkit based on a source-to-source translator that supports performance instrumentation, data collection, trace generation, and performance visualization of CAF applications. We illustrate this approach with a performance visualization of a CAF version of the Halo kernel benchmark using the VAMPIR event trace visualization tool. Copyright (c) 2007 John Wiley & Sons, Ltd.
536 _ _ |a Scientific Computing
|c P41
|2 G:(DE-HGF)
|0 G:(DE-Juel1)FUEK411
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a performance analysis
653 2 0 |2 Author
|a co-array Fortran
700 1 _ |a DeRose, J.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Vetter, J.
|b 2
|0 P:(DE-HGF)0
773 _ _ |a 10.1002/cpe.1169
|g Vol. 19, p. 2207 - 2218
|p 2207 - 2218
|q 19<2207 - 2218
|0 PERI:(DE-600)2052606-4
|t Concurrency and computation
|v 19
|y 2007
|x 1532-0626
856 7 _ |u http://dx.doi.org/10.1002/cpe.1169
909 C O |o oai:juser.fz-juelich.de:56460
|p VDB
913 1 _ |k P41
|v Scientific Computing
|l Supercomputing
|b Schlüsseltechnologien
|0 G:(DE-Juel1)FUEK411
|x 0
914 1 _ |y 2007
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |k JSC
|l Jülich Supercomputing Centre
|g JSC
|0 I:(DE-Juel1)JSC-20090406
|x 0
970 _ _ |a VDB:(DE-Juel1)88600
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


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