Title | ||
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Generation of Lifetime-Aware Pareto-Optimal Fronts Using a Stochastic Reliability Simulator |
Abstract | ||
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Process variability and time-dependent variability have become major concerns in deeply-scaled technologies. Two of the most important time-dependent variability phenomena are Bias Temperature Instability (BTI) and Hot-Carrier Injection (HCI), which can critically shorten the lifetime of circuits. Both BTI and HCI reveal a discrete and stochastic behavior in the nanometer scale, and, while process variability has been extensively treated, there is a lack of design methodologies that address the joint impact of these two phenomena on circuits. In this work, an automated and time-efficient design methodology that takes into account both process and time-dependent variability is presented. This methodology is based on the utilization of lifetime-aware Pareto-Optimal Fronts (POFs). The POFs are generated with a multi-objective optimization algorithm linked to a stochastic simulator. Both the optimization algorithm and the simulator have been specifically tailored to reduce the computational cost of the accurate evaluation of the impact on a circuit of both sources of variability. |
Year | DOI | Venue |
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2019 | 10.23919/DATE.2019.8714784 | 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE) |
Keywords | Field | DocType |
Reliability,Aging,BTI,HCI,Lifetime,Simulation,Optimization,Pareto front | Mathematical optimization,Computer science,Real-time computing,Pareto optimal | Conference |
ISSN | ISBN | Citations |
1530-1591 | 978-1-7281-0331-0 | 0 |
PageRank | References | Authors |
0.34 | 9 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
A. Toro-Frias | 1 | 17 | 3.59 |
P. Saraza-Canflanca | 2 | 1 | 1.79 |
Fábio Passos | 3 | 19 | 7.41 |
P. Martín-Lloret | 4 | 15 | 4.01 |
R. Castro-López | 5 | 79 | 18.20 |
Elisenda Roca | 6 | 129 | 26.84 |
Javier Martín-Martínez | 7 | 48 | 13.91 |
Rosana Rodríguez | 8 | 10 | 4.79 |
Montserrat Nafría | 9 | 23 | 5.27 |
Francisco V. Fernández | 10 | 234 | 40.82 |