Compute-In-Memory Technologies for Deep Learning Acceleration
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DOI: 10.1109/mnano.2023.3340321
Abstract: Deep learning accelerators (DLAs) based on compute-in-memory (CIM) technologies have been considered promising candidates to drastically improve the throughput and energy efficiency for running deep neural network models. In this review, we analyze DLA designs… read more here.
Keywords: deep learning; technologies deep; memory; compute memory ... See more keywords