Score-P

[surak]

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Software Name

Score-P

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Public URL

http://www.vi-hps.org/projects/score-p/

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Technical Overview

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.

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Latest stable version number

3.0

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Open-source license type

BSD

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Relationship to component?

• [X] contributing developer
• [ ] user
• [ ] other

If other, please describe:

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Build system

• [X] autotools-based
• [ ] CMake
• [ ] other

If other, please describe:

Does the current build system support staged path installations? For example: make install DESTIR=/tmp/foo (or equivalent)

• [X] yes
• [ ] no

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Does component run in user space or are administrative credentials required?

• [X] user space
• [ ] admin

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Does component require post-installation configuration.

• [ ] yes
• [X] no

If yes, please describe briefly:

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If component is selected, are you willing and able to collaborate with OpenHPC maintainers during the integration process?

• [X] yes
• [ ] no

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Does the component include test collateral (e.g. regression/verification tests) in the publicly shipped source?

• [X] yes
• [ ] no

If yes, please briefly describe the intent and location of the tests.

It perform self-test on the correctness of the measurements

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Does the component have additional software dependencies (beyond compilers/MPI) that are not part of standard Linux distributions?

• [ ] yes
• [X] no

If yes, please list the dependencies and associated licenses.

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Does the component include online or installable documentation?

• [X] yes
• [ ] no

If available online, please provide URL.

https://silc.zih.tu-dresden.de/scorep-current/html/

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[Optional]: Would you like to receive additional review feedback by email?

- [X] yes - [ ] no

[koomie]

Thank you for the submission and initial starting help to enable builds. The TSC has recommended acceptance of Score-P to provide additional parallel profiling and analysis capabilities. The starting target for inclusion is to land on the OpenHPC 1.2 branch.

A new tracker has been created in https://github.com/openhpc/ohpc/issues/319 for integration work. Closing this out.