Self-Checking Residue Number System for Low-Power Reliable Neural Network

Author:

Huang Tsung-Chu

Publisher

IEEE

Cited by 8 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. Integrating Non-Positional Numbering Systems into E-Commerce Platforms: A Novel Approach to Enhance System Fault Tolerance;Journal of Theoretical and Applied Electronic Commerce Research;2023-11-03

2. AN-HRNS: AN-Coded Hierarchical Residue Number System for Reliable Neural Network Accelerators;2022 IEEE 31st Asian Test Symposium (ATS);2022-11

3. Mathematical Model of the Reliability of a Computer System Operating in the Residual Class System, Based on Dynamic Redundancy;2021 IEEE International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo);2021-11-29

4. Implementation of Arithmetic Operations in the Residue Numeral System;2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T);2021-10-05

5. Fault Tolerance Computer System Structures Functioning in Residue Classes;2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2021-09-22

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