SILC

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 for 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 as a basis for several already existing performance-analysis tools developed by partner institutions. This 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.

Partners

	Forschungszentrum Jülich 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 Partner

	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

Sponsor