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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.

Scalasca is developed by the Jülich Supercomputing Centre and available under the New BSD open-source license.

Projects involving Scalasca

Parallel Programming for Multi-core Architectures (ParMA)

Virtual Institute – High Productivity Supercomputing (VI-HPS)