Soft-Error Vulnerability (SEV) is a parameter used to evaluate the robustness of a circuit to the induced Soft Errors (SEs). There are many techniques for SEV estimation, including analytical, electrical and logic simulations, and emulation-based approaches. Each of them has advantages and disadvantages regarding estimation time, resources consumption, accuracy, and restrictions over the analysed circuit. Concerning the ionising radiation effects, some analytical and electrical simulation approaches take into account how the circuit topology and the applied input patterns affect their susceptibilities to Single Event Transient (SET) at the gate level. On the other hand, logic simulation and emulation techniques usually ignore these SET susceptibilities. In this context, we propose a logic simulation-based probability-aware approach for SEV estimation that takes into account the specific SET susceptibility of each circuit gate. For a given operational scenario, we extract the input patterns applied to each gate and calculate its specific SET susceptibility. For the 38 analysed benchmark circuits, we obtained a reduction from 15.27% to 0.68% in the average SEV estimation error, when comparing the estimated value to a reference obtained at the transistor level. The results point out an improvement of the SEV estimation process by considering the specific SET susceptibilities.
A Simulation-Based Soft Error Estimation Methodology for Computer Systems
