Deep learning· 2023
Efficient Memory Management for Large Language Model Serving with PagedAttention
DOI 10.1145/3600006.3613165arXiv 2309.06180OpenAlex W4387321091
On the reading lists
- #80 in the Top 500 (2026 edition)
- #14 in Deep learning (2026 edition)
Why it matters
Introduced PagedAttention and vLLM, transforming KV-cache management and high-throughput LLM serving.
Condensed from the expert lists' notes.
The record
- First released
- 2023 (from arXiv 2309.06180)
- Citations
- 9,202 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Also relevant to
- Language, speech & LLMs
- Score
- 0.688 · computed rank 80 · consensus 0.83, must-read 1, citations percentile 0.969 (2020s · deep-learning), awards 0, existing lists 0. Method
Editor's notes
- Readability check: fail: A specialised serving-systems paper; valuable to engineers, not a lifetime read. (AI draft (Claude), not yet reviewed, 2026-10-29)
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.