Placement Optimization with Deep Reinforcement Learning

Anna Goldie
Anna Goldie

ISPD '20: International Symposium on Physical Design Taipei Taiwan September, 2020, pp. 3-7, 2020.

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Abstract:

Placement Optimization is an important problem in systems and chip design, which consists of mapping the nodes of a graph onto a limited set of resources to optimize for an objective, subject to constraints. In this paper, we start by motivating reinforcement learning as a solution to the placement problem. We then give an overview of wha...More

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