Title
Gate Resizing for Soft Error Rate Reduction in Nano-scale Digital Circuits Considering Process Variations
Abstract
This paper presents a novel circuit optimization technique to reduce soft error rates (SER) of combinational logic circuits in the presence of process variations. We take advantage of gate sizing technique which has been shown to be one of the most effective methods for SER mitigation in digital circuits. A statistical SER (SSER) estimation approach is proposed to be used to prune the circuit graph into a smaller set of candidate gates. Then, we perform incremental statistical sensitivity computations to determine the resizing step that are the largest improvement to circuit SER. The proposed algorithm trades off SER reduction and area overhead. Experimental results on a variety of benchmarks show SER reductions of 67.3% with gate sizing approach, with 5.5% area overheads and delay improvement of 3.2%, on average. The runtimes for the optimization algorithms are on the order of 10 minutes.
Year
DOI
Venue
2015
10.1109/DSD.2015.103
Euromicro Symposium on Digital Systems Design
Keywords
Field
DocType
Soft error, Soft error rate, Process variations, Sensitivity-based optimization approach, Statistical approach
Logic gate,Digital electronics,Nanoscopic scale,Soft error,Computer science,Real-time computing,Combinational logic,Optimization algorithm,Electronic circuit,Computation
Conference
Citations 
PageRank 
References 
1
0.36
15
Authors
3
Name
Order
Citations
PageRank
Mohsen Raji14011.25
Behnam Ghavami28518.98
Hossein Pedram319032.47