Title | ||
---|---|---|
Design of asynchronous circuits for high soft error tolerance in deep submicrometer CMOS circuits |
Abstract | ||
---|---|---|
As the devices are scaling down, the combinational logic will become susceptible to soft errors. The conventional soft error tolerant methods for soft errors on combinational logic do not provide enough high soft error tolerant capability with reasonably small performance penalty. This paper investigates the feasibility of designing quasi-delay insensitive (QDI) asynchronous circuits for high soft error tolerance. We analyze the behavior of null convention logic (NCL) circuits in the presence of particle strikes, and propose an asynchronous pipeline for soft-error correction and a novel technique to improve the robustness of threshold gates, which are basic components in NCL, against particle strikes by using Schmitt trigger circuit and resizing the feedback transistor. Experimental results show that the proposed threshold gates do not generate soft errors under the strike of a particle within a certain energy range if a proper transistor size is applied. The penalties, such as delay and power consumption, are also presented |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/TVLSI.2008.2011554 | IEEE Trans. VLSI Syst. |
Keywords | Field | DocType |
index terms,feedback transistor,asynchronous circuit,deep submicrometer cmos circuit,high soft error tolerant,particle strike,combinational logic,asynchronous pipeline,high soft error tolerance,conventional soft error tolerant,null convention logic,soft error,schmitt trigger circuit,pipelines,logic circuits,combinational circuits,robustness | Logic gate,Digital electronics,Soft error,Computer science,Schmitt trigger,CMOS,Combinational logic,Real-time computing,Electronic engineering,Electronic circuit,Asynchronous circuit | Journal |
Volume | Issue | ISSN |
18 | 3 | 1063-8210 |
Citations | PageRank | References |
13 | 0.85 | 18 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Weidong Kuang | 1 | 70 | 6.95 |
Peiyi Zhao | 2 | 96 | 9.81 |
J. S. Yuan | 3 | 13 | 0.85 |
R. F. DeMara | 4 | 528 | 70.33 |