An efficient reliability simulation tool for lifetime-aware analog circuit synthesis


Creative Commons License

Afacan E.

Turkish Journal Of Electrical Engineering And Computer Sciences, cilt.1, no.1, ss.1-12, 2020 (SCI Expanded İndekslerine Giren Dergi)

  • Cilt numarası: 1 Konu: 1
  • Basım Tarihi: 2020
  • Doi Numarası: 10.3906/elk-1910-22
  • Dergi Adı: Turkish Journal Of Electrical Engineering And Computer Sciences
  • Sayfa Sayısı: ss.1-12

Özet

Time-dependent degradation (aging) has become more severe in modern CMOS technologies. Therefore, it is highly critical to capture the variation e ects and design reliable circuits against aging. Simulation of time-dependent  variations is quite complicated since the degradation is a function of time, where the step count of simulation directly a ects the accuracy and the eciency of the analysis. Commercial simulator tools use a constant step count during reliability simulations, in which choosing a large step count degrades the eciency whereas keeping it small may result in accuracy problems. To overcome this bottleneck, a couple of di erent approaches have been proposed in the literature. Nevertheless, they su er from the initial workload during step count determination and some other accuracy problems. In this study, a two-level step count determination approach is presented, in which the step count induced estimation error can be promptly determined via an e ective simulation strategy at the rst level. At the second level, the error is tted into a saturated power law model; thus, the ecient step count can be determined without any simulation e ort. To demonstrate the developed tool, two case study circuits have been designed using 130nm technology parameters. According to the simulation results, the proposed approach decreases the initial workload by up to 67%. The proposed approach provides a remarkable save in computation time and can be used for all analog circuits without loss of generality. Moreover, a reliability-aware analog circuit synthesis tool is implemented to demonstrate the eciency of the proposed approach. The developed tool provides a 37% improvement in the computation time compared to the only tool in the literature.