Visualization of scientific parallel programs

The substantial effort of parallelizing scientific programs is only justified if the resulting codes are efficient. Thus, all types of performance tuning are important to parallel software development. But performance improvements are much more difficult to achieve with parallel programs than with s...

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Dades bibliogràfiques
Autors principals: Tomas, Gerald, 19..-, Ueberhuber, Christoph W. (Autor)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Col·lecció:Lecture notes in computer science 771
Matèries:
Accés en línia:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Visualization of scientific parallel programs, Gerald Tomas, Christoph W. Ueberhuber, Berlin, Springer-Verlag, 1994, 1 vol. (xi,310 p.), Lecture notes in computer science, 0-387-57738-6
• Visualization of Scientific Parallel Programs, Texte imprimé, 9783662176740
Taula de continguts:
  • Visualization tools
  • Design goals and techniques
  • Available software
  • Paragraph
  • Parallel IDeC methods
  • Performance modelling and evaluation of parallel IDeC methods
  • Representative target machines
  • Trace file
  • IDeC-specific displays
  • Shared memory IDeC methods
  • Distributed memory IDeC methods
  • Parallel integration
  • Simulated target machines
  • Trace file
  • Integration-specific displays
  • Visualization of parallel integration algorithms.