iMAD: an in-memory accelerator for AdderNet with efficient 8-bit addition and subtraction operations

iMAD: an in-memory accelerator for AdderNet with efficient 8-bit addition and subtraction operations

Adder Neural Network (AdderNet) is a new type of Convolutional Neural Networks (CNNs) that replaces the computational-intensive multiplications in convolution layers with lightweight additions and subtractions. As a result, AdderNet preserves high accuracy with adder convolution kernels and achieves...

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Bibliographic Details
Main Authors: Zhu, Shien, Li, Shiqing, Liu, Weichen
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
In-Memory Computing
Convolutional Neural Network
AdderNet
Online Access:https://hdl.handle.net/10356/156404

Internet

https://hdl.handle.net/10356/156404

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