Deep learning· 2023
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
On the reading lists
- #319 in the Top 500 (2026 edition)
- #38 in Deep learning (2026 edition)
Why it matters
Improved GPU occupancy and work partitioning, substantially accelerating exact attention kernels.
Condensed from the expert lists' notes.
The record
- First released
- 2023 (from arXiv 2307.08691)
- Citations
- 3,489 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.430 · computed rank 319 · consensus 0.45, must-read 0, citations percentile 0.844 (2020s · deep-learning), awards 0, existing lists 0. Method
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.