Score-P: HPC Performance Instrumentation and Measurement Tool

The development of Score-P was co-funded by the HBP during the Ramp-up Phase. This page is kept for reference but will no longer be updated.

Score-P logo


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 is developed under a BSD 3-Clause (Open Source) License and governed by a meritocratic governance model.

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 part of a larger set of tools for parallel performance analysis and debugging developed by the “Virtual Institute – High Productivity Supercomputing” (VI-HPS) consortium. Further documentation, training and support are available through VI-HPS.

The new version 1.4.2 provides the following new features (externally funded) as compared to version 1.4 that was part of the HBP-internal Platform Release in M18:

  • Power8, ARM64, and Intel Xeon Phi support
  • Pthread and OpenMP tasking support
  • Prototype OmpSs support
Date of releaseFebruary 2014
Version of software1.4.2
Version of documentation1.x
Software available, Section “Download section”
Documentation, Section “Documentation”,
ResponsibleScore-P consortium:
Requirements & dependenciesSupported OS: Linux
Needs OTF2 1.5.x series, Cube 4.3 series, and OPARI2 1.1.2 software packages (available at same website)
Target system(s)Supercomputers (Cray, IBM BlueGene, Fujitsu K/FX10), Linux Clusters of all kinds, Linux Workstations or Laptops (for test/training)