News

February 19 2010	Scalasca 1.3.0 released Includes improved support for OpenMP & hybrid MPI/OpenMP codes, full MPI 2.2 support, automatic MPI configuration, runtime filtering of MPI function groups, MPI-2 RMA analysis, PDToolkit-based source-code instrumenter support, and numerous other bug fixes & improvements.
February 19 2010	CUBE 3.3 released Stand-alone distribution of the graphical user interface component of Scalasca 1.3.0, including support for shared libraries on various platforms.

Scalasca is an open-source toolset that can be used to analyze the performance behavior of parallel applications and to identify opportunities for optimization. It has been specifically designed for use on large-scale systems including IBM Blue Gene (such as JUGENE at Forschungszentrum Jülich) and Cray XT, but is also well-suited for small- and medium-scale HPC platforms. Scalasca supports an incremental performance-analysis procedure that integrates runtime summaries with in-depth studies of concurrent behavior via event tracing, adopting a strategy of successively refined measurement configurations. A distinctive feature is the ability to identify wait states that occur, for example, as a result of unevenly distributed workloads. Especially when trying to scale communication-intensive applications to large processor counts, such wait states can present severe challenges to achieving good performance.

The software is available under the New BSD open-source license.

Projects involving Scalasca

IBM High Productivity Computing Systems Toolkit (HPCS)

Parallel Programming for Multi-core Architectures (ParMA)

Scalable Infrastructure for the Automated Performance Analysis of Parallel Codes (SILC)

Virtual Institute – High Productivity Supercomputing (VI-HPS)