Author

Hao Wu

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Preprint Sep 2026

TileBench: A Controlled Benchmark for Performance Evaluation and Bottleneck Diagnosis of Tile-Based Programming Models

Tile-based programming models, such as Triton and cuTile, aim to simplify high-performance kernel development, but their practical performance, tuning behavior, and usability remain difficult to compare systematically. We present TileBench, a controlled benchmark for evaluating Triton and cuTile on NVIDIA B200 GPUs und...

Bowen Cui, Zhongchun Zhou, Hao Wu et al. · 0 citations

Jul 2026

WIDE: Boosting Adaptive LLM Inference via Token-level Dynamic Width Pruning

WIDE is presented, the first end-to-end differentiable token-level dynamic width pruning framework designed for both prefill and decode scenarios, and a pruning--kernel co-design framework that decomposes dynamic sparsity acceleration into mask reordering, hardware-agnostic block-level skipping, and hardware-dependent...

Haozhe Hu, Hao Wu, Pei-Ran Yin et al. · arXiv.org · 1 citation