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AlphaChip
Deep reinforcement learning method
AlphaChip
AlphaChip is an automated method for macro placement, a crucial step in chip floorplanning. It is based on reinforcement learning (RL), a machine learning method in which a system iteratively improves its decisions by optimizing performance-based reward signals. AlphaChip was developed at Google Brain, where it was used in the design of their Tensor Processing Units. It was then made open-source and published in a Nature paper in 2021. The ideas behind AlphaChip, and the core developers, form the basis of the spin-out Ricursive. The claims of the 2021 paper have engendered considerable controversy, primarily over whether AlphaChip is an advance over existing algorithms, and academic integrity.
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