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Multi-GPU CUDA stress test
http://wili.cc/blog/gpu-burn.html
To build GPU Burn:
make
To remove artifacts built by GPU Burn:
make clean
GPU Burn builds with a default Compute Capability of 5.0.
To override this with a different value:
make COMPUTE=<compute capability value>
CFLAGS can be added when invoking make to add to the default
list of compiler flags:
make CFLAGS=-Wall
LDFLAGS can be added when invoking make to add to the default
list of linker flags:
make LDFLAGS=-lmylib
NVCCFLAGS can be added when invoking make to add to the default
list of nvcc flags:
make NVCCFLAGS=-ccbin <path to host compiler>
CUDAPATH can be added to point to a non standard install or
specific version of the cuda toolkit (default is
/usr/local/cuda):
make CUDAPATH=/usr/local/cuda-<version>
CCPATH can be specified to point to a specific gcc (default is
/usr/bin):
make CCPATH=/usr/local/bin
GPU Burn
Usage: gpu_burn [OPTIONS] [TIME]
-d Use doubles
-tc Use Tensor cores
-h Show this help message
Example:
gpu-burn -d 3600
No Description
C++ Cuda Makefile Dockerfile
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》