Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
paper
Fields
id
sources/arch-lightning-attentionPublisher
Qin et al. (arXiv)
Kind
paper
Published
2024-05-27
Accessed
2026-10-03
notes
Isolates the concrete reason linear attention fails to deliver its theoretical advantage in the causal setting: the cumulative summation (cumsum) required by prior linear-attention kernels. Fix is intra-block conventional attention + inter-block kernel trick plus tiling.
Notes
Isolates the concrete reason linear attention fails to deliver its theoretical advantage in the causal setting: the cumulative summation (cumsum) required by prior linear-attention kernels. Fix is intra-block conventional attention + inter-block kernel trick plus tiling.
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