Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Implement better metric for automatically choosing the best GPU #255

Open
denisalevi opened this issue Sep 22, 2021 · 0 comments
Open

Implement better metric for automatically choosing the best GPU #255

denisalevi opened this issue Sep 22, 2021 · 0 comments
Labels
usability

Comments

@denisalevi
Copy link
Member

Currently, we choose the GPU based on compute capability, which is basically picking new GPUs over potentially faster ones (see #160).

I just saw a findCudaDevice function in the CUDA samples, which chooses the GPU with highest performance = #multiprocessors * #SM-per-multiprocessor * clock-rate. Seems reasonable.

Found it in NVIDIA_CUDA-11.2_Samples/common/inc/helper_cuda.h
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
usability
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@denisalevi