Scalasca Parallel Performance Analyses of PEPC

  • Zoltán Szebenyi
  • Brian J. N. Wylie
  • Felix Wolf
Conference paper

DOI: 10.1007/978-3-642-00955-6_35

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5415)
Cite this paper as:
Szebenyi Z., Wylie B.J.N., Wolf F. (2009) Scalasca Parallel Performance Analyses of PEPC. In: César E. et al. (eds) Euro-Par 2008 Workshops - Parallel Processing. Euro-Par 2008. Lecture Notes in Computer Science, vol 5415. Springer, Berlin, Heidelberg

Abstract

PEPC (Pretty Efficient Parallel Coulomb-solver) is a complex HPC application developed at the Jülich Supercomputing Centre, scaling to thousands of processors. This is a case study of challenges faced when applying the Scalasca parallel performance analysis toolset to this intricate example at relatively high processor counts. The Scalasca version used in this study has been extended to distinguish iteration/timestep phases to provide a better view of the underlying mechanisms of the application execution. The added value of the additional analyses and presentations is then assessed to determine requirements for possible future integration within Scalasca.

Keywords

Parallel/distributed systems performance measurement & analysis tools application tracing & profiling 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Zoltán Szebenyi
    • 1
    • 2
  • Brian J. N. Wylie
    • 1
  • Felix Wolf
    • 1
    • 2
  1. 1.Jülich Supercomputing CentreForschungszentrum Jülich GmbHGermany
  2. 2.Aachen Institute for Advanced Study in Computational Engineering ScienceRWTH Aachen UniversityGermany

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