CASIA OpenIR  > 空天信息研究中心
郑美松; 王子龙; 涂吉; 王骏也; 李立健
Source Publication计算机辅助设计与图形学学报
Other AbstractAiming at the excessive hardware overhead of existing FPGA hardening techniques, this paper proposes a selective dual modular redundancy scheme by utilizing the fault masking properties of logic gates to tolerate faults in FPGAs. Firstly, look up table (LUT) structure circuit model is established for each circuit, and fault sensitivity of each LUT in given circuit is calculated level by level according to fault propagation probability. Secondly, LUTs with higher fault sensitivity are duplicated, and an AND or OR logic is added to the duplicated LUT output as a voter so that certain faults are masked. Finally, fault injection experiments are carried on the hardened circuits to verify the proposed hardening technique. Results on MCNC test set circuits show that under the condition of the same overhead, the proposed approach can reduce more faults compared with existing methods. At the full redundant mode, the proposed approach can reduce faults by 84.3% on average, and for large circuits like apex2 and spla can reduce more than 97%.   
KeywordFpga 容错 双模冗余 故障敏感度
Indexed ByEI
Document Type期刊论文
Corresponding Author李立健
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
郑美松,王子龙,涂吉,等. 可编程器件的选择性双模冗余加固方法[J]. 计算机辅助设计与图形学学报,2016,28(2):355-362.
APA 郑美松,王子龙,涂吉,王骏也,&李立健.(2016).可编程器件的选择性双模冗余加固方法.计算机辅助设计与图形学学报,28(2),355-362.
MLA 郑美松,et al."可编程器件的选择性双模冗余加固方法".计算机辅助设计与图形学学报 28.2(2016):355-362.
Files in This Item: Download All
File Name/Size DocType Version Access License
14905 郑美松_new_.pdf(355KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[郑美松]'s Articles
[王子龙]'s Articles
[涂吉]'s Articles
Baidu academic
Similar articles in Baidu academic
[郑美松]'s Articles
[王子龙]'s Articles
[涂吉]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[郑美松]'s Articles
[王子龙]'s Articles
[涂吉]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 14905 郑美松_new_.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.