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Phoronix Test Suite 8.6 M3 Released With More Benchmark Analytics From The CLI

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  • Phoronix Test Suite 8.6 M3 Released With More Benchmark Analytics From The CLI

    Phoronix: Phoronix Test Suite 8.6 M3 Released With More Benchmark Analytics From The CLI

    The third development release of Phoronix Test Suite 8.6-Spydeberg is now available for testing across Linux, BSD, Windows, Solaris, and macOS systems. This latest milestone has more benchmark analytics exposed via the command-line interface, a few BSD and Windows enhancements, and other improvements...

    http://www.phoronix.com/scan.php?pag...t-Suite-8.6-M3

  • Michael
    replied
    Originally posted by boxie View Post
    Could you do a single component comparison. Eg. Vega64 on your system vs all other systems so you can see how well you are doing
    Prototyped some but a bit difficult to get a very accurate match if wanting to maintain a close match as possible, but should be more possible after getting more compute offloading going on here for pre-processing of the data so could have it cached by component available for quick access on OpenBenchmarking.org in order to avoid so many real-time queries on Openbenchmarking.org.

    Leave a comment:


  • boxie
    replied
    Originally posted by Michael View Post

    Thanks, baking a few other ideas especially on the OB web side, but always welcome any other feature suggestions/requests.
    Could you do a single component comparison. Eg. Vega64 on your system vs all other systems so you can see how well you are doing

    Leave a comment:


  • Michael
    replied
    Originally posted by boxie View Post
    So this percentile stuff looks pretty shiny - You can definitely leverage that massive dataset of yours in more interesting ways like this
    Thanks, baking a few other ideas especially on the OB web side, but always welcome any other feature suggestions/requests.

    Leave a comment:


  • boxie
    replied
    So this percentile stuff looks pretty shiny - You can definitely leverage that massive dataset of yours in more interesting ways like this

    Leave a comment:

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