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Scalable Infrastructure for the Automated Performance Analysis of Parallel Codes


Driven by growing application requirements and accelerated by current trends in microprocessor design, the number of processor cores on modern supercomputers rapidly grows from generation to generation. This imposes scalability demands not only on applications but also on the software tools needed for their development. At the same time, the optimization of parallel codes becomes more difficult due to increasing system complexity. Funded by the German Ministry of Education and Research, the goal of the SILC project (Scalable Infrastructure for the Automated Performance Analysis of Parallel Codes) is therefore the design and implementation of a scalable and easy-to-use performance measurement infrastructure for supercomputing applications. This infrastructure, which will be called Score-P, will serve as the basis for several already existing performance-analysis tools developed by partner institutions. The enhanced tool suite will be used to tune the performance of academic and industrial simulation programs.

Partners / Grants

  • Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre
  • RWTH Aachen University, Center for Computing and Communication
  • Technische Universität Dresden, Center for Information Services and High Performance Computing
  • GNS Gesellschaft für numerische Simulation mbH
  • Technische Universität München, Lehrstuhl für Rechnertechnik und Rechnerorganisation

Associated partners:

  • German Research School for Simulation Sciences, Laboratory for Parallel Programming
  • GWT-TUD GmbH (Gesellschaft für Wissens- und Technologie-Transfer)
  • University of Oregon, Performance Research Lab

The project was funded by the German Federal Ministry of Education and Research (BMBF).

The grant period was January 2009 until December 2011.

Project homepage: