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000056461 0247_ $$2DOI$$a10.1002/cpe.1124
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000056461 041__ $$aeng
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000056461 084__ $$2WoS$$aComputer Science, Software Engineering
000056461 084__ $$2WoS$$aComputer Science, Theory & Methods
000056461 1001_ $$0P:(DE-HGF)0$$aGerndt, M.$$b0
000056461 245__ $$aA test suite for parallel performance analysis tools
000056461 260__ $$aChichester$$bWiley$$c2007
000056461 300__ $$a1465 - 1480
000056461 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000056461 440_0 $$017301$$aConcurrency and Computation: Practice and Experience$$v19$$x1532-0626$$y11
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000056461 520__ $$aParallel performance analysis tools must be tested as to whether they perform their task correctly, which comprises at least three aspects. First, it must be ensured that the tools neither alter the semantics nor distort the run-time behavior of the application under investigation. Next, it must be verified that the tools collect the correct performance data as required by their specification. Finally, it must be checked that the tools perform their intended tasks and detect relevant performance problems. Focusing on the latter (correctness) aspect, testing can be done using synthetic test functions with controllable performance properties, possibly complemented by real-world applications with known performance behavior. A systematic test suite can be built from synthetic test functions and other components, possibly with the help of tools to assist the user in putting the pieces together into executable test programs. Clearly, such a test suite can be highly useful to builders of performance analysis tools. It is surprising that, up until now, no systematic effort has been undertaken to provide such a suite. In this paper we describe the APART Test Suite (ATS) for checking the correctness (in the above sense) of parallel performance analysis tools. In particular, we describe a collection of synthetic test functions which allows one to easily construct both simple and more complex test programs with desired performance properties. We briefly report on experience with MPI and OpenMP performance tools when applied to the test cases generated by ATS. Copyright (c) 2006 John Wiley & Sons, Ltd.
000056461 536__ $$0G:(DE-Juel1)FUEK411$$2G:(DE-HGF)$$aScientific Computing$$cP41$$x0
000056461 588__ $$aDataset connected to Web of Science
000056461 650_7 $$2WoSType$$aJ
000056461 65320 $$2Author$$aparallel performance analysis
000056461 65320 $$2Author$$aautomatic performance analysis
000056461 65320 $$2Author$$aperformance analysis tools
000056461 65320 $$2Author$$aparallel applications
000056461 65320 $$2Author$$aparallel programming
000056461 7001_ $$0P:(DE-Juel1)132199$$aMohr, B.$$b1$$uFZJ
000056461 7001_ $$0P:(DE-HGF)0$$aTräff, J. L.$$b2
000056461 773__ $$0PERI:(DE-600)2052606-4$$a10.1002/cpe.1124$$gVol. 19, p. 1465 - 1480$$p1465 - 1480$$q19<1465 - 1480$$tConcurrency and computation$$v19$$x1532-0626$$y2007
000056461 8567_ $$uhttp://dx.doi.org/10.1002/cpe.1124
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000056461 9131_ $$0G:(DE-Juel1)FUEK411$$bSchlüsseltechnologien$$kP41$$lSupercomputing$$vScientific Computing$$x0
000056461 9141_ $$y2007
000056461 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000056461 9201_ $$0I:(DE-Juel1)VDB62$$d31.12.2007$$gZAM$$kZAM$$lZentralinstitut für Angewandte Mathematik$$x0
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