Tools for High Performance Computing 2013

Proceedings of the 7th International Workshop on Parallel Tools for High Performance Computing, September 2013, ZIH, Dresden, Germany

  • Andreas Knüpfer
  • José Gracia
  • Wolfgang E. Nagel
  • Michael M. Resch

Table of contents

  1. Front Matter
    Pages i-viii
  2. Mahesh Lagadapati, Frank Mueller, Christian Engelmann
    Pages 19-24
  3. Dirk Schmidl, Christian Terboven, Dieter an Mey, Matthias S. Müller
    Pages 25-37
  4. Yury Oleynik, Robert Mijaković, Isaías A. Comprés Ureña, Michael Firbach, Michael Gerndt
    Pages 39-51
  5. Xingfu Wu, Valerie Taylor, Charles Lively, Hung-Ching Chang, Bo Li, Kirk Cameron et al.
    Pages 53-65
  6. Thomas M. Baumann, José Gracia
    Pages 67-78
  7. Trevor E. Carlson, Wim Heirman, Kenzo Van Craeynest, Lieven Eeckhout
    Pages 79-89
  8. Alvaro Aguilera, Holger Mickler, Julian Kunkel, Michaela Zimmer, Marc Wiedemann, Ralph Müller-Pfefferkorn
    Pages 91-105
  9. Zakaria Bendifallah, William Jalby, José Noudohouenou, Emmanuel Oseret, Vincent Palomares, Andres Charif Rubial
    Pages 107-127

About these proceedings


Current advances in High Performance Computing (HPC) increasingly impact efficient software development workflows. Programmers for HPC applications need to consider trends such as increased core counts, multiple levels of parallelism, reduced memory per core, and I/O system challenges in order to derive well performing and highly scalable codes. At the same time, the increasing complexity adds further sources of program defects. While novel programming paradigms and advanced system libraries provide solutions for some of these challenges, appropriate supporting tools are indispensable. Such tools aid application developers in debugging, performance analysis, or code optimization and therefore make a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools presented and discussed at the 7th International Parallel Tools Workshop, held in Dresden, Germany, September 3-4, 2013.



high performance computing parallel processing software tools

Editors and affiliations

  • Andreas Knüpfer
    • 1
  • José Gracia
    • 2
  • Wolfgang E. Nagel
    • 3
  • Michael M. Resch
    • 4
  1. 1.Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH)Technische Universität DresdenDresdenGermany
  2. 2.Höchstleistungsrechenzentrum Stuttgart (HLRS)Universität StuttgartStuttgartGermany
  3. 3.Zentrum für Informationsdienst und Hochleistungsrechnen (ZIH)Technische Universität DresdenDresdenGermany
  4. 4.Höchstleistungsrechenzentrum Stuttgart (HLRS)Universität StuttgartStuttgartGermany

Bibliographic information