Chapter

Euro-Par 2008 Workshops - Parallel Processing

Volume 5415 of the series Lecture Notes in Computer Science pp 305-314

Scalasca Parallel Performance Analyses of PEPC

  • Zoltán SzebenyiAffiliated withCarnegie Mellon UniversityJülich Supercomputing Centre, Forschungszentrum Jülich GmbHAachen Institute for Advanced Study in Computational Engineering Science, RWTH Aachen University
  • , Brian J. N. WylieAffiliated withCarnegie Mellon UniversityJülich Supercomputing Centre, Forschungszentrum Jülich GmbH
  • , Felix WolfAffiliated withCarnegie Mellon UniversityJülich Supercomputing Centre, Forschungszentrum Jülich GmbHAachen Institute for Advanced Study in Computational Engineering Science, RWTH Aachen University

* Final gross prices may vary according to local VAT.

Get Access

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