BMBF (2009 - 2011)
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.
The SILC project is carried out in close cooperation with PRIMA, a collaborative project between the University of Oregon and Forschungszentrum Jülich funded by the US Department of Energy.
The Score-P Software Packages
The main result of the SILC project is the Score-P software package together with its components, see http://www.score-p.org/.
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
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
ZIH/TU Dresden, 01062 Dresden
Phone +49 351 463 38323