Author

Stuart H. Sul

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Preprint Oct 2026

SyclKittens: A Tile Programming Model for Programmers and Coding Agents on Intel GPUs

New AI accelerators arrive before the kernels that make them fast, because peak kernel performance requires architecture-specific expertise in operand pipelines and data-movement techniques. Coding agents can now write, compile, and tune kernels on their own, so they could greatly accelerate kernel development and opti...

Ye-Hong Jiang, Sheng Chen, Fang-Wen Fu et al. · 0 citations

#machine learning Preprint Sep 2026

Mixture-of-Kittens: MoE Megakernel for NVL72s

AI accelerator systems are rapidly consolidating into scale-up architectures, where tens to thousands of GPUs communicate over high-bandwidth, single-hop fabrics. We find that existing Mixture-of-Experts (MoE) training systems, optimized for conventional scale-out networks, transfer poorly to this setting, often runnin...

Stuart H. Sul, Nash Brown, Henry Wildermuth et al. · 1 citation · ⚡1