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JUBE Benchmarking Environment


Benchmarking a computer system usually involves numerous tasks, involving several runs of different applications. Configuring, compiling, and running a benchmark suite on several platforms with the accompanied tasks of result verification and analysis needs a lot of administrative work and produces a lot of data, which has to be analysed and collected in a central database. Without a benchmarking environment all these steps have to be performed by hand.

For each benchmark application the benchmark data is written out in a certain format that enables the benchmarker to deduct the desired information. This data can be parsed by automatic pre- and post-processing scripts that draw information, and store it more densely for manual interpretation.

The JUBE benchmarking environment provides a script based framework to easily create benchmark sets, run those sets on different computer systems and evaluate the results. It is actively developed by the Jülich Supercomputing Centre of Forschungszentrum Jülich, Germany.

JUBE versions

There are two different versions of JUBE available. JUBE version 1 is the older Perl based implementation. JUBE version 2 is a new Python based implementation. Beside the programming language also the command line interface and the input file structure changed. Because of that behaviour we divide the JUBE related information pages into a JUBE 1 and a JUBE 2 part.

Version 2.1.3 available (see also release notes)

If you are interested in upcoming JUBE versions, we recommend to add your mail address to the JUBE-news mailing list.

JUBE Related Pages

Here is a list of all related pages:

Download Quickstart
Frequently Asked QuestionsFrequently Asked Questions
Release notesDownload
Copyright and DisclaimerInstallation
Copyright and Disclaimer

JUBE Users


  • Flexible and Generic Workflow Management, Advances in Parallel Computing, Volume 27: Parallel Computing: On the Road to Exascale
    DOI 10.3233/978-1-61499-621-7-431
  • JuBE-based Automatic Testing and Performance Measurement System for Fusion Codes, Advances in Parallel Computing, Volume 22: Applications, Tools and Techniques on the Road to Exascale Computing
    DOI 10.3233/978-1-61499-041-3-465

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