Abstract: Using machine learning regression models for characterizing integrated circuits performance behavior may drastically reduce the costs associated to time consuming simulations and/or high ...
Abstract: Computing-in-memory (CIM) has emerged as an energy-efficient hardware solution for machine learning and AI. While static random access memory (SRAM)-based CIM has been prevalent, growing ...
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