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Joohyoung Cha

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Open access Jul 2026

Validity-Aware Multi-Level Autotuning for Efficient Tensor Program Generation

MOCHA introduces two key ideas: a validity prediction model to filter out invalid configurations prior to expensive hardware profiling, and an advanced performance prediction model that leverages hidden features extracted during the compilation process to enhance autotuning efficiency and robustness.

Joohyoung Cha, Munyoung Lee, Jinse Kwon et al. · 0 citations