Intrinsic MOSFET parameter fluctuations due to random dopant placement
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
Simulation and the Monte Carlo Method
Simulation and the Monte Carlo Method
Parameter variations and impact on circuits and microarchitecture
Proceedings of the 40th annual Design Automation Conference
Death, taxes and failing chips
Proceedings of the 40th annual Design Automation Conference
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Functionality and stability analysis of a 400mV quasi-static RAM (QSRAM) bitcell
Microelectronics Journal
Proceedings of the 2013 ACM international symposium on International symposium on physical design
Leveraging sensitivity analysis for fast, accurate estimation of SRAM dynamic write VMIN
Proceedings of the Conference on Design, Automation and Test in Europe
Multi-level wordline driver for robust SRAM design in nano-scale CMOS technology
Microelectronics Journal
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In this paper, an accurate approach for estimating SRAM dynamic stability is proposed. The conventional methods of SRAM stability estimation suffer from two major drawbacks: 1) using static failure criteria, such as static noise margin (SNM), which does not capture the transient and dynamic behavior of SRAM operation and 2) using quasi-Monte Carlo simulation, which approximates the failure distribution, resulting in large errors at the tails where the desired failure probabilities exist. These drawbacks are eliminated by employing a new distribution-independent, most-probable-failure-point search technique for accurate probability calculation along with accurate simulation-based dynamic failure criteria. Compared to previously published techniques, the proposed technique offers orders of magnitude improvement in accuracy. Furthermore, the proposed technique enables the correct evaluation of stability in real operation conditions and for different dynamic circuit techniques, such as dynamic write-back, where the conventional methods are not applicable.