A preliminary study of SEE soft error propagation based on cellular automaton

Author(s):  
He Wei ◽  
Wang Yueke ◽  
Xing Kefei
2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Wei He ◽  
Yueke Wang ◽  
Kefei Xing ◽  
Jianwei Yang

Aiming to estimate SEE soft error performance of complex electronic systems, a soft error propagation model based on cellular automaton is proposed and an estimation methodology based on circuit partitioning and error propagation is presented. Simulations indicate that different fault grade jamming and different coupling factors between cells are the main parameters influencing the vulnerability of the system. Accelerated radiation experiments have been developed to determine the main parameters for raw soft error vulnerability of the module and coupling factors. Results indicate that the proposed method is feasible.


Author(s):  
Guanpeng Li ◽  
Karthik Pattabiraman ◽  
Siva Kumar Sastry Hari ◽  
Michael Sullivan ◽  
Timothy Tsai
Keyword(s):  

2007 ◽  
Vol 18 (01) ◽  
pp. 35-42 ◽  
Author(s):  
NINO BOCCARA

Although it is undecidable whether a one-dimensional cellular automaton obeys a given conservation law over its limit set, it is however possible to obtain sufficient conditions to be satisfied by a one-dimensional cellular automaton to be eventually number-conserving. We present a preliminary study of two-input one-dimensional cellular automaton rules called eventually number-conserving cellular automaton rules whose limit sets, reached after a number of time steps of the order of the cellular automaton size, consist of states having a constant number of active sites. In particular, we show how to find rules having given limit sets satisfying a conservation rule. Viewed as models of systems of interacting particles, these rules obey a kind of Darwinian principle by either annihilating unnecessary particles or creating necessary ones.


2015 ◽  
Vol 55 (1) ◽  
pp. 238-250 ◽  
Author(s):  
Ghaith Bany Hamad ◽  
Syed Rafay Hasan ◽  
Otmane Ait Mohamed ◽  
Yvon Savaria

Author(s):  
Yuta Kimi ◽  
Go Matsukawa ◽  
Shuhei Yoshida ◽  
Shintaro Izumi ◽  
Hiroshi Kawaguchi ◽  
...  
Keyword(s):  

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