BSHIFT: A Low Cost Deep Neural Networks Accelerator

Author:

Yu Yong,Zhi Tian,Zhou Xuda,Liu Shaoli,Chen Yunji,Cheng Shuyao

Funder

the National Key Research and Development Program of China

the NSF of China

the 973 Program of China

National Science and Technology Major Project

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic Model Learning and Control of Robot Manipulator Based on Multi-layer Perceptron Neural Network;Transactions of the Korean Society of Mechanical Engineers - A;2023-12-31

2. Deploying Machine Learning in Resource-Constrained Devices for Human Activity Recognition;2023 XIII Brazilian Symposium on Computing Systems Engineering (SBESC);2023-11-21

3. A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification;ACM Transactions on Intelligent Systems and Technology;2023-11-14

4. Less is more: Low-precision feature selection for wearables;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

5. Low-precision feature selection on microarray data: an information theoretic approach;Medical & Biological Engineering & Computing;2022-03-22

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