Binarized Neural-Network Parallel-Processing Accelerator Macro Designed for an Energy Efficiency Higher Than 100 TOPS/W

A binarized neural-network (BNN) accelerator macro is developed based on a processing-in-memory (PIM) architecture having the ability of eight-parallel multiply-accumulate (MAC) processing. The parallel-processing PIM macro, referred to as a PPIM macro, is designed to perform the parallel processing...

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Bibliographic Details
Main Authors: Yusaku Shiotsu, Satoshi Sugahara
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10870055/
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