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GPGPU test - GPU power (W) not at maximum value

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  • GPGPU test - GPU power (W) not at maximum value

    Hello,
    we are doing tests to a system equipped with a NVIDIA L4 GPU, using GPGPU module, but with discovered a problem with this test: even if GPU usage is 100% (and it's ok due to test duty cycle set at 100%), GPU total power usage is about 35W, and not its max value (72W). We did a cross test, using AIDA64, and with this software used GPU power is 72W.
    So it seems that GPGPU module doesn't stress it at 100%.

    Could you please assist us, fixing this issue.

  • #2
    Different functions in the GPU use different amounts of power. So it is to be expected that different types of load can result in different power usage, but still all be 100% load. Different video cards will also behave differently.

    There are 3 options in BurnInTest for testing and test the GPU.

    GPGPU = This tests the GPUs ability to do computations (mathematics) and get the right answer.
    3D Test = The simulates games and other 3D rendering applications.
    2D Video RAM test = Checks the video RAM is working correctly.

    I would suggest running the 3D Test at a 4K resolution to increase the load. Also make sure you are using V11 as we increased the load on the 3D test in V11 by making it less CPU bound.

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    • #3
      Hello David,
      thanks for replying. Sure, we know that different instructions load GPU in different ways, and so required power changes accordingly.
      Moreover, this GPU is a Tensor Core GPU, with no video output. For this any 2D or 3D test can't be used.
      So, only way to stress it is to change GPGPU algorithms.
      We did cross tests with AIDA64, and discovered that only these test require high power
      - 24-bit Integer IOPS
      - 32-bit Integer IOPS
      - 64-bit Integer IOPS
      - AES-256

      Could you please add them into GPGPU module (better if adding the possibility of selecting which one to use).

      Thanks!
      Francesco​

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      • #4
        I've had added it to our to do list to have a look at different algorithms for a future release.

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