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cs.AI2026
CANNBot-CAKE: Collaborative Agentic Kernel Evolution for Ascend NPU
Deng Pan, Xue-Jian Gao, Junyi Fan +8
Efficient custom operators are essential for modern deep learning workloads, yet developing high-performance kernels for Ascend NPUs remains slow, expert-intensive, and difficult t…
cs.AI2026
CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits
Xue-Jian Gao, Deng Pan, Yueming Su +12
AI agents are now capable of writing, compiling, and iteratively optimizing low-level operator kernels on different hardware platforms. Existing benchmarks, however, focus almost e…