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.

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

Usage of GPU #38

Open
seowalex opened this issue Dec 9, 2020 · 1 comment
Open

Usage of GPU #38

seowalex opened this issue Dec 9, 2020 · 1 comment

Comments

@seowalex
Copy link

seowalex commented Dec 9, 2020

Is there a way to make use of CUDA acceleration in our Docker images?

@mabelzhang
Copy link
Collaborator

So... I haven't tried to set it up, but the generic answer I suspect is yes, since I'm seeing these things:
https://medium.com/@adityathiruvengadam/cuda-docker-%EF%B8%8F-for-deep-learning-cab7c2be67f9
https://www.celantur.com/blog/run-cuda-in-docker-on-linux/

However, I will also point out the unpopular view that one shouldn't take it for granted that an ASV in the real world would have one or more on-board GPUs for processing, assuming that's what this question is about... That's not relevant for this simulated challenge.

More relevant to this challenge is that the server Docker image used to evaluate the solutions doesn't have CUDA set up, and there's no guarantee that the machines running the evaluation will have CUDA. So even if the generic answer is yes, I don't know if that will help you with VORC specifically.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants