App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 10

Partition retraining based multi-fault tolerance algorithm for rram crossbar

Wang Mengke
Yang Zhaohui
Zha Xiaojing
Xia Yinshui
Faculty of Electrical Engineering & Computer Science, Ningbo University, Ningbo Zhejiang 315211, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0046

Abstract

To address the issue of calculation errors in neural network matrix-vector multiplication caused by manufacturing processes of RRAM cells, this paper modeled the characteristics of multiple faults in RRAM crossbar arrays and proposed a multi-fault tolerant algorithm. Firstly, it modeled the impacts of common transition fault and stuck at fault in RRAM crossbar arrays on the accuracy of neural network computations. Secondly, it partitioned the neural network and conducted partitioned training based on an improved knowledge distillation method. Lastly, it further optimized the algorithm by selecting an appropriate loss function and incorporating normalization layers. Experimental results on the MNIST and Cifar-10 datasets demonstrate that the proposed method can achieve a recovery rate of over 98% across multiple neural networks, indicating its effectiveness in mitigating the impact of multiple faults in RRAM crossbar arrays on the accuracy of neural network computations.

Foundation Support

国家自然科学基金资助项目(62131010,U22A2013)
国家自然科学基金青年项目(62304115)
浙江省自然科学基金创新群体资助项目(LDT23F04021F04)
浙江省科研计划一般项目(Y202248965)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0046
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 10

Publish History

[2024-07-04] Accepted Paper

Cite This Article

王梦可, 杨朝晖, 查晓婧, 等. 基于分区再训练的RRAM阵列多缺陷容忍算法 [J]. 计算机应用研究, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0046. (Wang Mengke, Yang Zhaohui, Zha Xiaojing, et al. Partition retraining based multi-fault tolerance algorithm for rram crossbar [J]. Application Research of Computers, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0046. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)