Tools for High Performance Computing 2009

Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden

  • Matthias S. Müller
  • Michael M. Resch
  • Alexander Schulz
  • Wolfgang E. Nagel
Conference proceedings

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Shajulin Benedict, Ventsislav Petkov, Michael Gerndt
    Pages 1-16
  3. Holger Brunst, Daniel Hackenberg, Guido Juckeland, Heide Rohling
    Pages 17-29
  4. Karl Fürlinger, Nicholas J. Wright, David Skinner
    Pages 31-38
  5. Markus Geimer, Felix Wolf, Brian J.  N. Wylie, Daniel Becker, David Böhme, Wolfgang Frings et al.
    Pages 39-51
  6. Tobias Hilbrich, Martin Schulz, Bronis R. de Supinski, Matthias S. Müller
    Pages 53-66
  7. Marty Itzkowitz, Yukon Maruyama
    Pages 67-93
  8. Denis Barthou, Andres Charif Rubial, William Jalby, Souad Koliai, Cédric Valensi
    Pages 95-113
  9. Thomas Köckerbauer, Christof Klausecker, Dieter Kranzlmüller
    Pages 115-123
  10. Glenn R. Luecke, James Coyle, James Hoekstra, Marina Kraeva, Ying Xu, Mi-Young Park et al.
    Pages 145-155
  11. Dan Terpstra, Heike Jagode, Haihang You, Jack Dongarra
    Pages 157-173
  12. Anh Vo, Sarvani Vakkalanka, Ganesh Gopalakrishnan
    Pages 175-184

About these proceedings


As 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.


Computer Hardware OpenMP calculus development tools for high performance computing parallel debugging parallel performance analysis programming support infrastructure for parallel and high performance com verification

Editors and affiliations

  • Matthias S. Müller
    • 1
  • Michael M. Resch
    • 2
  • Alexander Schulz
    • 3
  • Wolfgang E. Nagel
    • 4
  1. 1.Zentrum für Informationsdienste und, Hochleistungsrechnen (ZIH)TU DresdenDresdenGermany
  2. 2.Höchstleistungsrechenzentrum (HLRS)Universität StuttgartStuttgartGermany
  3. 3.Höchstleistungsrechenzentrum (HLRS)Universität StuttgartStuttgartGermany
  4. 4.Zentrum für Informationsdienste und, Hochleistungsrechnen (ZIH)TU DresdenDresdenGermany

Bibliographic information

Industry Sectors
IT & Software
Consumer Packaged Goods
Finance, Business & Banking