A Modular Approximation Methodology for Efficient Fixed-Point Hardware Implementation of the Sigmoid Function-Reference-Cited by-同舟云学术

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A Modular Approximation Methodology for Efficient Fixed-Point Hardware Implementation of the Sigmoid Function

Published:2022-10 Issue:10 Volume:69 Page:10694-10703
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Pan Zhe¹^ORCID,Gu Zonghua²^ORCID,Jiang Xiaohong¹^ORCID,Zhu Guoquan³^ORCID,Ma De¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

2. Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden

3. Artificial Intelligence Research Institute, Research Center for Intelligent Computing Systems, Zhejiang Lab, Hangzhou, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/9768205/09700744.pdf?arnumber=9700744

Reference46 articles.

1. Low Complex & High Accuracy Computation Approximations to Enable On-Device RNN Applications

2. Efficient Hardware Implementation of DNN-Based Speech Enhancement Algorithm With Precise Sigmoid Activation Function

3. Pytorch Mobile,0

4. Tensorflow lite micro: Embedded machine learning on tinyml systems;david,2020

5. Activations Quantization for Compact Neural Networks

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1. A reconfigurable multi-precision quantization-aware nonlinear activation function hardware module for DNNs;Microelectronics Journal;2024-09

2. A Fully Probabilistic Model for Sigmoid Approximation and Its Hardware- Efficient Implementation;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-08

3. Chebyshev approximation technique: analysis and applications;The Journal of Supercomputing;2024-06-21

4. Computing with magnetic tunnel junction based sigmoidal activation functions;Applied Physics Letters;2024-06-10

5. FPGA Implementation of Power-Lite Volterra- Inspired Neural Network Equalizer in 100G PON;Journal of Lightwave Technology;2024-05-01

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