Hao-Dong Deng

MAGSAT: Memory-Access-Guided Fusion and Shape-Adaptive Auto-Tuning for Dynamic Tensor Programs

Dynamic tensor programs are increasingly common in deep learning. Existing libraries and compilers provide or generate highly optimized kernels, but their decisions are often tied to fixed operator patterns or concrete shapes. Dynamic-shape systems reduce tuning overhead, yet they typically optimize individual operator...