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Author

Size Zheng

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Preprint Aug 2026

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference

SPADE is presented, a training-free sparse-attention engine of three parts: a specification defining 3D blocking candidates and formalizing dynamic masks via Summarizer/Estimator expressions, and an executor with low-overhead index search, flash block-sparse attention, and kernel grouping.

Shang-Hao Liu, Renze Chen, Size Zheng et al. · 1 citation · ⚡1
Jun 2026

PipeComm: Maximizing Link Utilization Through Pipeline-Aware Collective Communication Synthesis

Efficient collective communication is crucial for distributed training. While recent topology-aware synthesis approaches attempt to optimize communication based on the network topology, they struggle with heterogeneous environments where links exhibit distinct bandwidths and asymmetric connections. The main inefficienc...

Ruifan Xu, Yuze Luo, Yuhao Meng et al. · 0 citations

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