000 03168nam a22003975i 4500
001 301307
003 MX-SnUAN
005 20160429155704.0
007 cr nn 008mamaa
008 150903s2010 gw | o |||| 0|eng d
020 _a9783642112614
_99783642112614
024 7 _a10.1007/9783642112614
_2doi
035 _avtls000354457
039 9 _a201509030537
_bVLOAD
_c201405060337
_dVLOAD
_y201402181018
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.758
100 1 _aMüller, Matthias S.
_eeditor.
_9337847
245 1 0 _aTools for High Performance Computing 2009 :
_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 páginas 59 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aResch, Michael M.
_eeditor.
_9323964
700 1 _aSchulz, Alexander.
_eeditor.
_9332898
700 1 _aNagel, Wolfgang E.
_eeditor.
_9323962
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642112607
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-11261-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c301307
_d301307