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

[Core] Efficient CPU prefix caching for the prefill step #10888

Closed
wants to merge 11 commits into from

Conversation

lixiaobai09
Copy link

@lixiaobai09 lixiaobai09 commented Dec 4, 2024

We implement an efficient CPU prefix caching for the prefill step, including:

  1. A naive implementation of CPU KV Block Cache Manager.
  2. A data transmission optimization to overlap layer-wise block swapping and forward computing.
  3. A data transmission optimization to overlap request-level block swapping and computing by delaying the transmission requests one step.

Copy link

github-actions bot commented Dec 4, 2024

👋 Hi! Thank you for contributing to the vLLM project.
Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run fastcheck CI which starts running only a small and essential subset of CI tests to quickly catch errors. You can run other CI tests on top of those by going to your fastcheck build on Buildkite UI (linked in the PR checks section) and unblock them. If you do not have permission to unblock, ping simon-mo or khluu to add you in our Buildkite org.

Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging.

To run CI, PR reviewers can do one of these:

  • Add ready label to the PR
  • Enable auto-merge.

🚀

@lixiaobai09 lixiaobai09 changed the title [Misc] Efficient CPU prefix caching for the prefill step [Core] Efficient CPU prefix caching for the prefill step Dec 4, 2024
Dahai Tang added 8 commits December 4, 2024 09:50
Conflicts:
	vllm/attention/backends/abstract.py
	vllm/attention/backends/flash_attn.py
	vllm/core/scheduler.py
	vllm/model_executor/models/qwen2.py
	vllm/sequence.py
	vllm/worker/worker.py
	vllm/worker/worker_base.py

Signed-off-by: Dahai Tang <[email protected]>
Signed-off-by: Dahai Tang <[email protected]>
Signed-off-by: Dahai Tang <[email protected]>
Signed-off-by: Dahai Tang <[email protected]>
Signed-off-by: Dahai Tang <[email protected]>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant