Abstract: Linear filtering or convolution operations can be computationally expensive, especially in low-resource environments, high data rate applications, or scenarios involving large datasets. In ...
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Abstract: In this work, we propose a deep reinforcement learning (DRL) framework called Pin-opt, designed to create a reusable solver capable of optimizing pin assignment to minimize signal integrity ...