The Scalasca performance toolset architecture

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By M. Geimer, F. Wolf, B.J.N. Wylie, E. Abraham, D. Becker, B. Mohr.
Published in Concurrency and Computation: Practice and Experience, 22(6):702-719, April 2010.
Scalasca 2.x series
Download | Build requirements | Documentation | ChangeLog |
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This software is free but copyrighted
© 1998-2025 | Forschungszentrum Jülich GmbH, Germany | |
© 2009-2015 | German Research School for Simulation Sciences GmbH, Jülich/Aachen, Germany | |
© 2014-2022 | RWTH Aachen University, Germany | |
© 2003-2008 | University of Tennessee, Knoxville, USA | |
© 2006 | Technische Universität Dresden, Germany |
By downloading and using this software you automatically agree to comply with the regulations as described in the Scalasca v2 license agreement.
Unlike Scalasca 1.x, the Scalasca 2.x release series is based on the community instrumentation and measurement infrastructure Score-P, which is jointly developed by a consortium of partners from Germany and the US. This significantly improves interoperability with other performance analysis tool suites such as Vampir and TAU due to the usage of the two common data formats CUBE4 for profiles and the Open Trace Format 2 (OTF2) for event trace data.
Sources in gzipped tar format | ||
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Version | Date | Description |
2.6.2 | 02-Apr-2025 | Latest Release MD5sum: 8628cb026e1a9bd6399087c7eea93106 Includes:
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Features of previous v2.x releases can be found in the changelog. For a list of known limitations please read the open issues document. |
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Sneak peek | ||
Development tarballs | Recent CI-approved development builds straight from our source-code repository (with limited support). |
Note that neither Score-P nor the Cube GUI are included in the Scalasca distribution tarball but have to be downloaded and installed separately. See the build requirements page for download links.
Supported Platforms
Scalasca is intended to run on ppc64, x86_64, or aarch64 architectures. It has been tested on the following platforms:
- HPE/Cray XC and EX systems with PrgEnvs Cray, GNU, AMD, AOCC, and Intel.
- various Linux (Intel, AMD, ARM) clusters with GNU, Clang, Intel, NVIDIA, and AMD compilers. Fujitsu compilers haven't been tested thoroughly, Fujitsu cross-compilers have not been tested at all.
The following platforms have not been tested recently, however, the supplied build system might still work on those systems:
- IBM Blue Gene/Q
- IBM Blue Gene/P
- AIX-based clusters
- Cray XT, XE, XK series
- Fujitsu FX10, FX100, and K computer
- Intel Xeon Phi (KNC/KNL), with Intel compilers & Intel MPI only
- Oracle/Sun Solaris/SPARC-based clusters
Building Scalasca on 32-bit systems or other platforms/architectures might work, but your mileage may vary. The provided configure options (see installation instructions) may provide a good basis for building and testing the toolset such systems. Please report success/failure on other platforms to the Scalasca development team.