Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir

  • Andreas Knüpfer
  • Christian Rössel
  • Dieter an Mey
  • Scott Biersdorff
  • Kai Diethelm
  • Dominic Eschweiler
  • Markus Geimer
  • Michael Gerndt
  • Daniel Lorenz
  • Allen Malony
  • Wolfgang E. Nagel
  • Yury Oleynik
  • Peter Philippen
  • Pavel Saviankou
  • Dirk Schmidl
  • Sameer Shende
  • Ronny Tschüter
  • Michael Wagner
  • Bert Wesarg
  • Felix Wolf
Conference paper

DOI: 10.1007/978-3-642-31476-6_7

Cite this paper as:
Knüpfer A. et al. (2012) Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir. In: Brunst H., Müller M., Nagel W., Resch M. (eds) Tools for High Performance Computing 2011. Springer, Berlin, Heidelberg

Abstract

This paper gives an overview about the Score-P performance measurement infrastructure which is being jointly developed by leading HPC performance tools groups. It motivates the advantages of the joint undertaking from both the developer and the user perspectives, and presents the design and components of the newly developed Score-P performance measurement infrastructure. Furthermore, it contains first evaluation results in comparison with existing performance tools and presents an outlook to the long-term cooperative development of the new system.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Andreas Knüpfer
    • 1
  • Christian Rössel
    • 1
  • Dieter an Mey
    • 1
  • Scott Biersdorff
    • 1
  • Kai Diethelm
    • 1
  • Dominic Eschweiler
    • 1
  • Markus Geimer
    • 1
  • Michael Gerndt
    • 1
  • Daniel Lorenz
    • 1
  • Allen Malony
    • 1
  • Wolfgang E. Nagel
    • 1
  • Yury Oleynik
    • 1
  • Peter Philippen
    • 1
  • Pavel Saviankou
    • 1
  • Dirk Schmidl
    • 1
  • Sameer Shende
    • 1
  • Ronny Tschüter
    • 1
  • Michael Wagner
    • 1
  • Bert Wesarg
    • 1
  • Felix Wolf
    • 1
  1. 1.ZIH, TU DresdenDresdenGermany