Online Fault Detection in ReRAM-Based Computing Systems for Inferencing-Reference-Cited by-同舟云学术

Online Fault Detection in ReRAM-Based Computing Systems for Inferencing

Published:2022-04 Issue:4 Volume:30 Page:392-405
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Liu Mengyun¹^ORCID,Chakrabarty Krishnendu²^ORCID

Affiliation:

1. Nvidia Hardware Team, Santa Clara, CA, USA

2. Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA

Funder

NSF through National AI Institute for Edge Computing Leveraging Next Generation Wireless Networks

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

Reference44 articles.

2. Fast prediction with SVM models containing RBF kernels;claesen;arXiv 1403 0736,2014

Cited by 4 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

3. Digital Twin Based Fault-Tolerance Framework for RRAM Based Neural Computing Systems;2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS);2023-08-06

4. Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04