Chip design with machine learning: A survey from an algorithm perspective

A paper published in the journal Science China Information Sciences comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for the target problems at different stages in chip design. The taxonomy aims to guide selecting and designing ML algorithms for the target problems, taking into account their existing challenges, as well as to provide a comprehensive summary of chip design with ML algorithms …

algorithm algorithms authors china chip chip design design electronics & semiconductors information machine machine learning ml algorithms novel paper perspective science survey surveys taxonomy