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Thread: Benchmarks question

  1. #1
    Join Date
    Oct 2011
    Posts
    10

    Default Benchmarks question

    Hi, questions regarding benchmarks:

    In the benchmarks article, Server 1 does not show a CUDA GPU, and yet there is a column for "Server 1: CUDA" results. What does this represent? Was this using the same Tesla C2070 "rocket" as Server 2? Or, a more modest GeForce video card? If different, then which?

    Is there really a need for the Tesla C2070? What level of floating-point precision arithmetic does the transcoding/transrating algorithm use? If it only uses single-precision then as I understand it a cheaper GeForce GTX 580 actually outperforms the Tesla card. I'm only interested in transrating, if that makes a difference.

    As I said, I want to do transrating of multiple streams. Whatever it is that Server 1 is using for its benchmark appears to be similarly powerful to Quicksync. If I get a Z68 motherboard with whatever that CUDA card is, and then run half my jobs on CUDA and half on QuickSync, do I get better CPU utilization? Or, does the CPU spend about as much time servicing each job regardless of the GPU so it doesn't help?

    How do you tell when you are reaching saturation on the capabilities of the GPU? CPU utilization may still be relatively low, but if you've exceeded the capacity of the GPU then presumably something starts to break. Is there a way to measure GPU utilization? If not, what happens if you push too hard? Do you get error messages? Or, do the streams just start to look bad?

    Is there any perceived difference in quality between CPU vs. Quick Sync vs. CUDA?

  2. #2

    Default

    I can't comment on the CUDA performance aspect but I transrate'd the same source I found QuickSync was best quality (and very good performance figures) followed by CPU followed by CUDA as the poorest, however, this was before Wowza updated the CUDA SDK they're using

  3. #3
    Join Date
    Feb 2011
    Posts
    18

    Default

    Thank you for pointing out the error in our performance article. The CUDA card used for server 1 was a GTX 580 - I will update the article.

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