Energy-efficient analog-domain aggregator circuit for RRAM-based neural network accelerators

Energy-efficient analog-domain aggregator circuit for RRAM-based neural network accelerators

Recently, there has been notable progress in the advancement of RRAM-based Compute-In-Memory (CIM) architectures, showing promise in accelerating neural networks with remarkable energy efficiency and parallelism. However, challenges persist in fully integrating large-scale networks onto a chip, part...

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Bibliographic Details
Main Authors: Khaled Humood, Yihan Pan, Shiwei Wang, Alexander Serb, Themis Prodromakis
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Electronics
Subjects:
in-memory-computing
ANN
accelerators
analog-computing
aggregator
accumulator
Online Access:https://www.frontiersin.org/articles/10.3389/felec.2025.1513127/full
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