Name
Title | ||
|---|---|---|
Soft Error Reliability Evaluation of Nanoscale Logic Circuits in the Presence of Multiple Transient Faults |
Abstract | ||
|---|---|---|
Radiation-induced single transient faults (STFs) are expected to evolve into multiple transient faults (MTFs) at nanoscale CMOS technology nodes. For this reason, the reliability evaluation of logic circuits in the presence of MTFs is becoming an important aspect of the design process of deep submicron and nanoscale systems. However, an accurate evaluation of the reliability of large-scale and very large-scale circuits is both very complex and time-consuming. Accordingly, this paper presents a novel soft error reliability calculation approach for logic circuits based on a probability distribution model. The correctness or incorrectness of individual logic elements are regarded as random events obeying Bernoulli distribution. Subsequently, logic element conversion-based fault simulation experiments are conducted to analyze the logical masking effects of the circuit when one logic element fails or when two elements fail simultaneously. On this basis, the reliability boundaries of the logic circuits can efficiently be calculated using the proposed probability model and fault simulation results. The proposed solution can obtain an accurate reliability range through single fault and double faults simulations with small sample sizes, and also scales well with the variation of the error rate of the circuit element. To validate the proposed approach, we have calculated the reliability boundaries of ISCAS'85, ISCAS'89, and ITC'99 benchmark circuits. Statistical analysis and experimental results demonstrate that our method is effective and scalable, while also maintaining sufficiently close accuracy. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s10836-020-05898-x | JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS |
Keywords | DocType | Volume |
Reliability evaluation,Multiple transient faults (MTFs),Bernoulli distribution,Fault simulation,Probability model | Journal | 36.0 |
Issue | ISSN | Citations |
4 | 0923-8174 | 3 |
PageRank | References | Authors |
0.40 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuo Cai | 1 | 21 | 5.90 |
| Binyong He | 2 | 7 | 1.51 |
| Weizheng Wang | 3 | 26 | 8.16 |
| Peng Liu | 4 | 1701 | 171.49 |
| Fei Yu | 5 | 27 | 7.41 |
| Lairong Yin | 6 | 3 | 0.40 |
| Bo Li | 7 | 47 | 9.43 |