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" Tools for high performance computing 2009 : "
Matthias S. Müller [and others], editors
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BL
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| Record Number
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604755
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| Doc. No
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GBB022878b433974
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10,N03b433974
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| Main Entry
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International Workshop on Parallel Tools for High Performance Computing(3rd :2009 :, Dresden, Germany)
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| Title & Author
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Tools for high performance computing 2009 : : proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden /\ Matthias S. Müller [and others], editors
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| Page. NO
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1 online resource (xiv, 184 pages) :: illustrations (some color)
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| ISBN
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9783642112607
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: 3642112609
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: 9783642112614
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: 3642112617
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| Bibliographies/Indexes
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Includes bibliographical references and index
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| Contents
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PERISCOPE : an online-based distributed performance analysis tool / Shajulin Benedict, Ventsislav Petkov, and Michael Gerndt -- Comprehensive performance tracking with Vampir 7 / Holger Brunst, Daniel Hackenberg, Guido Juckeland, and Heide Rohling -- Performance analysis and workload characterization with IPM / Karl Fürlinger, Nicholas J. Wright, and David Skinner -- Recent developments in the Scalasca toolset / Markus Geimer, Felix Wolf, Brian J.N. Wylie, Daniel Becker, David Böhme, Wolfgang Frings, Marc-André Hermanns, Bernd Mohr, and Zoltán Szebenyi -- MUST : a scalable approach to runtime error detection in MPI programs / Tobias Hilbrich, Martin Schulz, Bronis R. de Supinski, and Matthias S. Müller -- HPC profiling with the Sun StudioTM performance tools / Marty Itzkowitz and Yukon Maruyama -- Performance tuning of x86 OpenMP codes with MAQAO / Denis Barthou, Andres Charif Rubial, William Jalby, Souad Koliai, and Cédric Valensi -- Scalable parallel debugging with g-eclipse / Thomas Köckerbauer, Christof Klausecker, and Dieter Kranzlmüller -- New analysis techniques in the CEPBA-tools environment / Jesus Labarta -- The importance of run-time error detection / Glenn R. Luecke, James Coyle, James Hoekstra, Marina Kraeva, Ying Xu, Mi-Young Park, Elizabeth Kleiman, Olga Weiss, Andre Wehe, and Melissa Yahya -- Collecting performance data with PAPI-C / Dan Terpstra, Heike Jagode, Haihang You, and Jack Dongarra -- ISP tool update : scalable MPI verification / Anh Vo, Sarvani Vakkalanka, and Ganesh Gopalakrishnan
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| Abstract
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As more and more hardware platforms support parallelism, parallel programming is gaining momentum. Applications can only leverage the performance of multi-core processors or graphics processing units if they are able to split a problem into smaller ones that can be solved in parallel. The challenges emerging from the development of parallel applications have led to the development of a great number of tools for debugging, performance analysis and other tasks. The proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing provide a technical overview in order to help engineers, developers and computer scientists decide which tools are best suited to enhancing their current development processes
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| Subject
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High performance computing, Congresses
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Parallel programming (Computer science), Congresses
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Computer science
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| Dewey Classification
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004.35
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| LC Classification
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QA76.88.I58 2010
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| Added Entry
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Müller, Matthias S
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