Multi-core.

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This topic contains 5 replies, has 3 voices, and was last updated by  morchoz 4 years, 4 months ago.

  • Author
    Posts
  • #17128

    morchoz
    Participant

    The improvement in performance gained by the use of a multi-core processor depends very much on the software algorithms used and their implementation. In particular, possible gains are limited by the fraction of the software that can be run in parallel simultaneously on multiple cores; this effect is described by Amdahl’s law. In the best case, so-called embarrassingly parallel problems may realize speedup factors near the number of cores, or even more if the problem is split up enough to fit within each core’s cache(s), avoiding use of much slower main system memory.

  • #22196

    martinb
    Keymaster

    Hi dennitzio,

    J-P has covered this with a similar question here:

    http://forum.imagineersystems.com/showthread.php?t=1079

    Although *mocha* and *mocha for After Effects CS5* are different products, they are a similar codebase and therefore the answer is essentially the same.

    Cheers,

  • #19741

    dennitzio
    Participant

    Is there a reason Mocha is running on only one core on my Win7-64 8-core? Do I need to turn it on?

  • #22199

    martinb
    Keymaster

    Hi dennitzio,
    J-P has covered this with a similar question here:

    http://forum.imagineersystems.com/showthread.php?t=1079

    Although *mocha* and *mocha for After Effects CS5* are different products, they are a similar codebase and therefore the answer is essentially the same.
    Cheers,

  • #19746

    dennitzio
    Participant

    Is there a reason Mocha is running on only one core on my Win7-64 8-core? Do I need to turn it on?

  • #24739

    morchoz
    Participant

    The improvement in performance gained by the use of a multi-core processor depends very much on the software algorithms used and their implementation. In particular, possible gains are limited by the fraction of the software that can be run in parallel simultaneously on multiple cores; this effect is described by Amdahl’s law. In the best case, so-called embarrassingly parallel problems may realize speedup factors near the number of cores, or even more if the problem is split up enough to fit within each core’s cache(s), avoiding use of much slower main system memory.

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