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...
Main Authors: | Zhu, Shien, Li, Shiqing, Liu, Weichen |
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Other Authors: | School of Computer Science and Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/156404 |
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