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Flex attention: A programming model for generating optimized attention kernels

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

fields

cs.CV 1 cs.PL 1

years

2026 1 2025 1

representative citing papers

LPM 1.0: Video-based Character Performance Model

cs.CV · 2026-04-09 · unverdicted · novelty 6.0

LPM 1.0 generates infinite-length, identity-stable, real-time audio-visual conversational performances for single characters using a distilled causal diffusion transformer and a new benchmark.

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

cs.PL · 2025-10-09 · conditional · novelty 6.0

Neptune introduces dependency-breaking fusion with algebraic corrections for reduction sequences, generating FlashAttention-like kernels from plain attention code with 1.35x average speedup across ten benchmarks and four GPU architectures.

citing papers explorer

Showing 2 of 2 citing papers.

  • LPM 1.0: Video-based Character Performance Model cs.CV · 2026-04-09 · unverdicted · none · ref 82

    LPM 1.0 generates infinite-length, identity-stable, real-time audio-visual conversational performances for single characters using a distilled causal diffusion transformer and a new benchmark.

  • Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs cs.PL · 2025-10-09 · conditional · none · ref 17

    Neptune introduces dependency-breaking fusion with algebraic corrections for reduction sequences, generating FlashAttention-like kernels from plain attention code with 1.35x average speedup across ten benchmarks and four GPU architectures.