The Scalasca performance toolset architecture
By M. Geimer, F. Wolf, B.J.N. Wylie, E. Ábrahám, D. Becker, B. Mohr.
Published in Concurrency and Computation: Practice and Experience, 22(6):702-719, April 2010.
Scalasca 2.x series
This software is free but copyrighted
|© 1998-2016||Forschungszentrum Jülich GmbH, Germany|
|© 2009-2015||German Research School for Simulation Sciences GmbH, Jülich/Aachen, Germany|
|© 2014-2015||RWTH Aachen University, Germany|
|© 2003-2008||University of Tennessee, Knoxville, USA|
|© 2006||Technische Universität Dresden, Germany|
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|
Features of previous v2.x releases can be found in the changelog.
For a list of known limitations please read the open issues document.
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.
The Scalasca tool set has been successfully tested on the following platforms:
- IBM Blue Gene/Q
- IBM BladeCenter & iDataPlex clusters
- Cray XC series
- Fujitsu FX10, FX100, and K computer
- various Linux-based clusters (x86_64, Power8, armhf, AArch64)
- Intel Xeon Phi (native mode only)
The following platforms have not been tested recently, however, the supplied build system might still work on those systems:
- IBM Blue Gene/P
- AIX-based clusters (Power6)
- Cray XT, XE, XK series
- Oracle/Sun Solaris/SPARC-based clusters
In addition, the provided configure options (see installation instructions) may provide a good basis for building and testing the toolset on other systems. Please report success/failure on other platforms to the Scalasca development team.