000			03210nam a22004935i 4500
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003			SIRSI
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007			cr nn 008mamaa
008			100528s2010 gw | s |||| 0|eng d
020			_a9783642112614 _9978-3-642-11261-4
040			_cMX-MeUAM
050		4	_aQA76.758
082	0	4	_a005.1 _223
100	1		_aMüller, Matthias S. _eeditor.
245	1	0	_aTools for High Performance Computing 2009 _h[recurso electrónico] : _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.
300			_aXIV, 184 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.
700	1		_aSchulz, Alexander. _eeditor.
700	1		_aNagel, Wolfgang E. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642112607
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-11261-4
596			_a19
942			_cLIBRO_ELEC
999			_c201855 _d201855