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

[Performance] parallelize GPU to/from CPU tensor copying in distributed training #11086

Closed
typhoonzero opened this issue May 31, 2018 · 1 comment

Comments

@typhoonzero
Copy link
Contributor

Now we only do GPU -> CPU tensor copying before send on GPU0, but we can make this parallel when we are running parallel executor with multiple GPUs: we can launch kernels on different GPUs at the same time to copy different gradient variables.

@shanyi15
Copy link
Collaborator

您好,此issue在近一个月内暂无更新,我们将于今天内关闭。若在关闭后您仍需跟进提问,可重新开启此问题,我们将在24小时内回复您。因关闭带来的不便我们深表歉意,请您谅解~感谢您对PaddlePaddle的支持!
Hello, this issue has not been updated in the past month. We will close it today for the sake of other user‘s experience. If you still need to follow up on this question after closing, please feel free to reopen it. In that case, we will get back to you within 24 hours. We apologize for the inconvenience caused by the closure and thank you so much for your support of PaddlePaddle Group!

PaddlePaddle Distributed Refactoring (Due: 201802) automation moved this from Perf TODOs to DONE Aug 15, 2018
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Development

No branches or pull requests

2 participants