DocumentCode
1777643
Title
Reliability analysis of logic circuits using probabilistic techniques
Author
Grandhi, Satish ; Spagnol, Christian ; Popovici, Emanuel
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. Coll. Cork, Cork, Ireland
fYear
2014
fDate
June 30 2014-July 3 2014
Firstpage
1
Lastpage
4
Abstract
The low reliability of advanced CMOS devices has become a critical issue that can potentially supersede the benefits of the technology shrinking process. This is making the design time reliability assessment and optimization a mandatory step in the IC design flow. As part of our ongoing research, we describe an algorithm based on probability analysis and logic principles for computing the impact of gate failures on the circuit output. We also propose a Bound and Propagate based methodology to handle the reconvergent fanout issue. A reliability evaluator has been developed around the open source logic synthesis tool `abc´ to allow integration and evaluation of our method in the context of an IC design flow. This approach had tremendously reduced the computation time while maintaining adequate precision. Simulation results for several benchmark circuits demonstrate the accuracy and the simulation time advantages when compared to MonteCarlo simulations.
Keywords
CMOS logic circuits; circuit optimisation; failure analysis; integrated circuit reliability; probability; Bound and Propagate based methodology; CMOS devices; IC design flow; Monte Carlo simulations; design time optimization; design time reliability assessment; gate failures; logic circuits; logic principles; logic synthesis tool; probabilistic techniques; reconvergent fanout issue; reliability analysis; technology shrinking process; Computational modeling; Error probability; Integrated circuit modeling; Integrated circuit reliability; Inverters; Logic gates; AIG; Reconvergent Fanout; Reliability; abc;
fLanguage
English
Publisher
ieee
Conference_Titel
Ph.D. Research in Microelectronics and Electronics (PRIME), 2014 10th Conference on
Conference_Location
Grenoble
Type
conf
DOI
10.1109/PRIME.2014.6872739
Filename
6872739
Link To Document