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Scalable performance measurement infrastructure for parallel codes (Score-P)

Score-P developer community

The Score-P measurement infrastructure is a highly scalable and easy-to-use tool suite for profiling, event tracing, and online analysis of HPC applications. Score-P offers the user a maximum of convenience by supporting a number of analysis tools. Currently, it works with Periscope, Scalasca, Vampir, and Tau and is open for other tools. Score-P comes together with the new Open Trace Format Version 2, the Cube4 profiling format and the Opari2 instrumenter.

Score-P is available under the 3-clause BSD Open Source license.

Version 4.0 adds the following major feature:

  • User Library Wrapping: Using scorep-libwrap-init, you can now automatically generate library wrappers supplying only the headers and library files of the target library. You then install the wrapper into  SCOREP_LIBWRAP_PATH and use it with the new instrumenter flag --libwrap=<wrapper>. For this only linking with Score-P is necessary, except when the library is called from threads, then the threading paradigm has to be instrumented as well.

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scorep-4.0.tar.gz
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  • https://doi.org/10.1007/978-3-642-31476-6_7
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