000 | 03267nam a22005175i 4500 | ||
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001 | 978-3-642-11261-4 | ||
003 | DE-He213 | ||
005 | 20140220084530.0 | ||
007 | cr nn 008mamaa | ||
008 | 100528s2010 gw | s |||| 0|eng d | ||
020 |
_a9783642112614 _9978-3-642-11261-4 |
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024 | 7 |
_a10.1007/978-3-642-11261-4 _2doi |
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050 | 4 | _aQA76.758 | |
072 | 7 |
_aUMZ _2bicssc |
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072 | 7 |
_aUL _2bicssc |
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072 | 7 |
_aCOM051230 _2bisacsh |
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082 | 0 | 4 |
_a005.1 _223 |
100 | 1 |
_aMüller, Matthias S. _eeditor. |
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245 | 1 | 0 |
_aTools for High Performance Computing 2009 _h[electronic resource] : _bProceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden / _cedited by Matthias S. Müller, Michael M. Resch, Alexander Schulz, Wolfgang E. Nagel. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010. |
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300 |
_aXIV, 184p. 59 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aPERISCOPE: An Online-Based Distributed Performance Analysis Tool -- Comprehensive Performance Tracking with Vampir 7 -- Performance Analysis and Workload Characterization with IPM -- Recent Developments in the Scalasca Toolset -- MUST: A Scalable Approach to Runtime Error Detection in MPI Programs -- HPC Profiling with the Sun Studio™ Performance Tools -- Performance Tuning of x86 OpenMP Codes with MAQAO -- Scalable Parallel Debugging with g-Eclipse -- New Analysis Techniques in the CEPBA-Tools Environment -- The Importance of Run-Time Error Detection -- Collecting Performance Data with PAPI-C -- ISP Tool Update: Scalable MPI Verification. | |
520 | _aAs 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. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer network architectures. | |
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aPhysics. | |
650 | 0 | _aEngineering. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aSoftware Engineering/Programming and Operating Systems. |
650 | 2 | 4 | _aComputer System Implementation. |
650 | 2 | 4 | _aComplexity. |
700 | 1 |
_aResch, Michael M. _eeditor. |
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700 | 1 |
_aSchulz, Alexander. _eeditor. |
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700 | 1 |
_aNagel, Wolfgang E. _eeditor. |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642112607 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-11261-4 |
912 | _aZDB-2-SCS | ||
999 |
_c111820 _d111820 |