Automatic performance analysis of large scale simulations

  • Authors:
  • Shajulin Benedict;Matthias Brehm;Michael Gerndt;Carla Guillen;Wolfram Hesse;Ventsislav Petkov

  • Affiliations:
  • Technische Universität München, Fakultät für Informatik, Garching, Germany;Leibniz Computing Centre, Garching, Germany;Technische Universität München, Fakultät für Informatik, Garching, Germany;Leibniz Computing Centre, Garching, Germany;Leibniz Computing Centre, Garching, Germany;Technische Universität München, Fakultät für Informatik, Garching, Germany

  • Venue:
  • Euro-Par'09 Proceedings of the 2009 international conference on Parallel processing
  • Year:
  • 2009

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Abstract

Developing efficient parallel programs for supercomputers is a challenging task. It requires insight into the application, the parallelization concepts, as well as the parallel architectures. Performance analysis tools such as Periscope, an automatic performance analysis tool currently under development at Technische Universität München, help the programmer in detecting performance bottlenecks. The goal of the ISAR project is to enhance the existing Periscope research prototype and deliver a production version. This paper focuses on the evaluation of Periscope's main features based on two large scale simulation codes.