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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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Detalhes bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros Autores: Cheptsov, Alexey. (Editor, http://id.loc.gov/vocabulary/relators/edt), Brinkmann, Steffen. (Editor, http://id.loc.gov/vocabulary/relators/edt), Gracia, José. (Editor, http://id.loc.gov/vocabulary/relators/edt), Resch, Michael M. (Editor, http://id.loc.gov/vocabulary/relators/edt), Nagel, Wolfgang E. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Formato: Recurso Eletrônico livro eletrônico
Idioma:English
Publicado em: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edição:1st ed. 2013.
Assuntos:
Computer mathematics.
Computer software—Reusability.
Computer programming.
Application software.
Computational Science and Engineering.
Performance and Reliability.
Programming Techniques.
Computer Applications.
Acesso em linha:https://doi.org/10.1007/978-3-642-37349-7
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Sumário:
  • 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.

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