A Comprehensive Review of Processing-in-Memory Architectures for Deep Neural Networks

This comprehensive review explores the advancements in processing-in-memory (PIM) techniques and chiplet-based architectures for deep neural networks (DNNs). It addresses the challenges of monolithic chip architectures and highlights the benefits of chiplet-based designs in terms of scalability and...

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Bibliographic Details

Published in:	Computers
Main Authors:	Rupinder Kaur, Arghavan Asad, Farah Mohammadi
Format:	Article
Language:	English
Published:	MDPI AG 2024-07-01
Subjects:	deep neural network (DNN) processing-in-memory (PIM) heterogeneous architecture resistive ReRAM (ReRAM) network on chip (NoC) latency
Online Access:	https://www.mdpi.com/2073-431X/13/7/174