Author

Jianguo Yao

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Preprint Aug 2026

HIERA: Workload-Aware Planning Across Implementation Spaces for GPU Kernel Optimization

A hierarchical search-space planning framework for GPU kernel optimization that delivers stronger overall implementation validity, sample efficiency, and optimization performance than existing training-free methods, while remaining competitive with the training-based CUDA-L1 without additional model training is proposed.

Jing-Hao Wang, Qiqi Gu, Chenpeng Wu et al. · 0 citations