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Scalable Performance Analysis Toolset for High-Performance Computing (HPC)

The Scalasca performance analysis toolset is designed for parallel codes and is compatible with a wide range of High-Performance Computing (HPC) platforms. It offers various analysis modes, providing performance overviews and in-depth studies of communication and synchronization through automatic trace analysis. Key features include wait state identification and support for programming models such as MPI 2.2 and OpenMP. Scalasca is available under the New BSD license and can be installed at organizations like LLNL for testing purposes.

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Scalable Performance Analysis Toolset for High-Performance Computing (HPC)

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  1. Scalable performance-analysis toolsetfor parallel codes • Suitable for wide range of HPC platforms • Analysis modes • Performance overview on call-path level via runtime summarization • In-depth study of communication & synchronization via automatic trace analysis • Identification of wait states • Supported programming models • MPI 2.2 including RMA analysis • OpenMP (basic features) • Available under the New BSD license • http://www.scalasca.org/ • Installed at LLNL for TLCC, up, and BG/L(unsupported test version) Joint project of

  2. Libra: Scalable Load Balance Analysis Running Application • Libra is a tool for quickly monitoring load-balance • Handles applications with large numbers of time steps • Handles time-evolving patterns • Small, phased effort profiles displayed intuitively in surface plot • Can observe different phases of code separately • Scalable wavelet-based compression enables use at scale EffortInstrumentation ScalableCompression ScalableVisualization

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