Joint Effects of Aging and Process Variations on Soft Error Rate of Nano-Scale Digital Circuits

Author(s):  
Mohammad Sajjad Aghadadi ◽  
Mahdi Fazeli ◽  
Hakem Beitollahi

Soft errors have always been a concern in the design of digital circuits. As technology down-scales toward Nanometer sizes, emergence of aging effects, process variations, and Multiple Event Transients (METs) has made the soft error rate (SER) estimation of digital circuits very challenging. This paper intends to characterize the challenges by investigating the cross effects of theses issues in overall SER of a circuit. To this regard, we employ a simulation-based SER estimation approach in which the aging effect, process variations and METs are jointly considered in our fault injection process. In our simulation-based SER estimation approach, a statistical gate delay model is used. The fault injection results into ISCAS85 circuit benchmark reveal that the SER estimation without taking into account the aging effects, the process variations, and METs is significantly inaccurate.

2014 ◽  
Vol 54 (9-10) ◽  
pp. 2344-2348 ◽  
Author(s):  
F.L. Kastensmidt ◽  
J. Tonfat ◽  
T. Both ◽  
P. Rech ◽  
G. Wirth ◽  
...  

2014 ◽  
Vol 23 (06) ◽  
pp. 1450091 ◽  
Author(s):  
RAMIN RAJAEI ◽  
MAHMOUD TABANDEH ◽  
MAHDI FAZELI

Fast and accurate estimation of soft error rate in VLSI circuits is an essential step in a soft error tolerant ASIC design. In order to have a cost effective protection against radiation effects in combinational logics, an accurate and fast method for identification of most susceptive gates and paths is needed. In this paper, an efficient, fast and accurate method for soft error propagation probability (SEPP) estimation is presented and its performance is evaluated. This method takes into account all three masking factors in multi cycles. It also considers multiple event transients as a new challenge in soft error tolerant VLSI circuit design. Compared with Monte Carlo (MC) simulation-based fault injection method, our SEPP estimation method has a high level of accuracy (with less than 2% difference) while offering 1000× speedup as compared with MC-based simulation.


2012 ◽  
Vol 59 (6) ◽  
pp. 2811-2817 ◽  
Author(s):  
Jian Yao ◽  
Zuochang Ye ◽  
Miao Li ◽  
Yanfeng Li ◽  
R. D. Schrimpf ◽  
...  

2017 ◽  
Vol 60 (12) ◽  
Author(s):  
Ruiqiang Song ◽  
Shuming Chen ◽  
Bin Liang ◽  
Yaqing Chi ◽  
Jianjun Chen

Sign in / Sign up

Export Citation Format

Share Document