Score-P

The Score-P measurement infrastructure is a highly scalable and easy-to-use tool suite for profiling and event tracing of HPC applications. Score-P offers the user a maximum of convenience by supporting a number of analysis tools. Currently, it works with CubeGUI, Scalasca trace tools, Vampir, Tau, and Extra-P 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 for OpenMP applications.

Score-P instrumented applications capture events from various sources (MPI, threads, GPUs, I/O, source code, interrupts), augment them with timestamps and hardware counters before passing them to profiling and tracing backends:

Downloading Score-P

Please find the latest tarballs here:
https://perftools.pages.jsc.fz-juelich.de/cicd/scorep/

Getting in contact

If you have any comments or questions regarding the use and installation of Score-P, or want to report a bug you discovered, please email support@score-p.org

Staying up-to-date

You can also sign up to the Score-P News mailing list to receive the latest news about new releases, tutorials, workshops, and other Score-P-related events.

Citing Score-P

If you find Score-P helpful for your research, please mention it in your publications:

• Knüpfer, A. et al. (2012). Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir. In: Brunst, H., Müller, M., Nagel, W., Resch, M. (eds) Tools for High Performance Computing 2011. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31476-6_7

Acknowledgements

This work is supported by BMBF, DFG, Helmholtz POF, EU (FP7, Horizon 2020, ITEA-2), EuroHPC JU, US DOE, Siemens AG, Intel, AMD, NVIDIA, ORNL.