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gpuburn

Multi-GPU CUDA stress test based on a fork of http://wili.cc/blog/gpu-burn.html

Fork description

  • Updated CUDA version
  • Updated base OS
  • Added default user account

Usage

Docker image usage:

docker run -it --rm --gpus all iankoulski/gpuburn /app/gpu_burn 60

GPU Burn usage:

gpu_burn [OPTIONS] [TIME]

    -m X   Use X MB of memory
    -m N%  Use N% of the available GPU memory
    -d     Use doubles
    -tc    Try to use Tensor cores (if available)
    -l     List all GPUs in the system
    -i N   Execute only on GPU N
    -h     Show this help message

Example:
gpu_burn -d 3600

For more details, please see: https://github.com/wilicc/gpu-burn

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Multi-GPU CUDA stress test

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  • C++ 85.0%
  • Cuda 7.2%
  • Makefile 4.0%
  • Roff 2.6%
  • Dockerfile 1.2%