Scalasca Parallel Performance Analyses of PEPC

Authors:
Zoltán Szebenyi;Brian J. Wylie;Felix Wolf
Affiliations:
Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Germany and Aachen Institute for Advanced Study in Computational Engineering Science, RWTH Aachen University, Germany;Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Germany;Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Germany and Aachen Institute for Advanced Study in Computational Engineering Science, RWTH Aachen University, Germany
Venue:
Euro-Par 2008 Workshops - Parallel Processing
Year:
2009

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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.