Evaluations on Deep Neural Networks Training Using Posit Number System

Author:

Lu JinmingORCID,Fang ChaoORCID,Xu Mingyang,Lin Jun,Wang ZhongfengORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Cited by 28 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. Can green finance improve the financial performance of green enterprises in China?;International Review of Economics & Finance;2023-11

2. Trading Performance, Power, and Area on Low-Precision Posit MAC Units for CNN Training;2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2023-10-17

3. FPGA Accelerated CNN Inference and Online Retraining for UAVs with Minimal Power and Performance Overhead;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12

4. Posit for DNN Architectures;Synthesis Lectures on Engineering, Science, and Technology;2023-09-02

5. A Review of Posit Arithmetic for Energy-Efficient Computation: Methodologies, Applications, and Challenges;Design and Applications of Emerging Computer Systems;2023-08-17

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