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Parallel Code Analysis in HPC User Support

In: Tools for High Performance Computing 2015

Author

Listed:
  • Rene Sitt

    (Hochschulrechenzentrum, Hessisches Kompetenzzentrum für Hochleistungsrechnen)

  • Alexandra Feith

    (Hessisches Kompetenzzentrum für Hochleistungsrechnen)

  • Dörte C. Sternel

    (Hessisches Kompetenzzentrum für Hochleistungsrechnen)

Abstract

Over the last decades, the access to high performance computing resources has transitioned from being restricted to only a few specialists to becoming a commodity for people from widely varying contexts. Consequently, this includes the need for a level of in-depth user support which cannot be provided by a sysadmin alone. The Competence Center for High Performance Computing in Hesse aims to establish this service for the Hessian universities. As such, merely troubleshooting user scripts and codes is not enough; instead, the goal is to optimize the usage of computational resources, which needs to include the analysis of user codes and ensuring good performance and scalability. For this task, parallel code analysis tools in user support are becoming more and more commonplace and may indeed be regarded as essential. As a result, HPC user support specialists form a separate user group from application developers and require different sets of features.

Suggested Citation

  • Rene Sitt & Alexandra Feith & Dörte C. Sternel, 2016. "Parallel Code Analysis in HPC User Support," Springer Books, in: Andreas Knüpfer & Tobias Hilbrich & Christoph Niethammer & José Gracia & Wolfgang E. Nagel & Michael (ed.), Tools for High Performance Computing 2015, chapter 0, pages 127-133, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-39589-0_10
    DOI: 10.1007/978-3-319-39589-0_10
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