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Tools for High Performance Computing 2012

The latest advances in the High Performance Computing hardware have significantly raised the level of available compute performance. At the same time, the growing hardware capabilities of modern supercomputing architectures have caused an increasing complexity of the parallel application development...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Cheptsov, Alexey (Editor ), Brinkmann, Steffen (Editor ), Gracia, José (Editor ), Resch, Michael M. (Editor ), Nagel, Wolfgang E. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Tools for High Performance Computing 2012  |h [electronic resource] /  |c edited by Alexey Cheptsov, Steffen Brinkmann, José Gracia, Michael M. Resch, Wolfgang E. Nagel. 
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264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2013. 
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505 0 |a Preface -- Part I Debugging -- Debugging at Scale with Allinea DDT -- Task Debugging with TEMANEJO -- Part II Automatic Error Detection -- MPI Runtime Error Detection with MUST: Advanced Error Reports -- Advanced Memory Checking for MPI Parallel Applications Using MemPin -- Part III Performance Analysis and Optimization -- Generic Support for Remote Memory Access Operations in Score-P and OTF2 -- Cache-Related Performance Analysis Using Rogue Wave Software's ThreadSpotter -- Custom Hot Spot Analysis of HPC Software with the Vampir Performance Tool Suite -- Extending Scalasca's Analysis Features -- The HOPSA Workflow and Tools -- Part IV Performance Data Visualization -- Visualizing More Performance Data Than What Fits on Your Screen. 
520 |a The latest advances in the High Performance Computing hardware have significantly raised the level of available compute performance. At the same time, the growing hardware capabilities of modern supercomputing architectures have caused an increasing complexity of the parallel application development. Despite numerous efforts to improve and simplify parallel programming, there is still a lot of manual debugging and  tuning work required. This process  is supported by special software tools, facilitating debugging, performance analysis, and optimization and thus  making a major contribution to the development of  robust and efficient parallel software. This book introduces a selection of the tools, which were presented and discussed at the 6th International Parallel Tools Workshop, held in Stuttgart, Germany, 25-26 September 2012. 
650 0 |a Mathematics-Data processing. 
650 0 |a Computers. 
650 0 |a Computer programming. 
650 0 |a Application software. 
650 1 4 |a Computational Science and Engineering. 
650 2 4 |a Hardware Performance and Reliability. 
650 2 4 |a Programming Techniques. 
650 2 4 |a Computer and Information Systems Applications. 
700 1 |a Cheptsov, Alexey.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Brinkmann, Steffen.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Gracia, José.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Resch, Michael M.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Nagel, Wolfgang E.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
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950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)