Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications
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DOI: 10.1109/jetcas.2023.3241750
Abstract: Matrix-Vector Multiplications (MVMs) represent a heavy workload for both training and inference in Deep Neural Networks (DNNs) applications. Analog In-memory Computing (AIMC) systems based on Phase Change Memory (PCM) has been shown to be a… read more here.
Keywords: pcm based; accuracy; analog memory; memory ... See more keywords