What is recorded here?
Reorganized exact-attention work across GPU blocks and warps and reduced non-matrix-multiplication operations to improve accelerator utilization.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Year follows the 2023 preprint; later conference publication is not a second result. This is a distinct work-partitioning refinement of FlashAttention, with measured gains tied to the tested GPU.
Read the original work
- FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
- Tri Dao: original FlashAttention-2 paper
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Tri Dao
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Dao: FlashAttention-2 GPU work partitioning
Reorganized exact-attention work across GPU blocks and warps and reduced non-matrix-multiplication operations to improve accelerator utilization.
Scientific scope
Year follows the 2023 preprint; later conference publication is not a second result. This is a distinct work-partitioning refinement of FlashAttention, with measured gains tied to the tested GPU.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Tri Dao
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.