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Timing yield and reliability improvement of carbon nano-tube FET based digital circuits with statistical driven correlation-aware placement

机译:具有统计驱动的相关感知布局的基于碳纳米管FET的数字电路的时序产量和可靠性提高

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摘要

Carbon Nano-tube Field Effect Transistor (CNFET) is one of the most promising successors of CMOS technology because of its superb electrical features. Although these features are proper for implementing in various practical circuits, CNFET-based circuits will encounter enormous fabrication problems due to their size. Two of the most challenging problems are timing yield and reliability reduction. Consequently methods for improving robustness of CNFET-based circuits should be conducted. Considering these problems, in this paper, the statistical model of reliability and timing yield of CNFET-based circuits is presented and then we propose a statistical driven correlation-aware placement for CNFET-based gates. We illustrate that our placement engine improves the reliability and timing yield of various circuits. Following these observations, in our method, a statistical approach is conducted to get optimum timing yield of register-to-register path in a sequential circuit. Subsequently, experimental results show improvement of about 19% in timing yield and 17% in reliability of some ISCAS89 circuits.
机译:碳纳米管场效应晶体管(CNFET)由于其卓越的电气特性而成为CMOS技术最有希望的后继者之一。尽管这些特征适合于在各种实际电路中实现,但基于CNFET的电路由于其尺寸而将遇到巨大的制造问题。最具挑战性的两个问题是时序产量和可靠性降低。因此,应该进行改善基于CNFET的电路的鲁棒性的方法。考虑到这些问题,本文提出了基于CNFET的电路的可靠性和时序成品率的统计模型,然后针对基于CNFET的门提出了一种统计驱动的相关感知布局。我们说明了我们的布局引擎提高了各种电路的可靠性和时序产量。根据这些观察结果,在我们的方法中,进行了一种统计方法来获得时序电路中寄存器到寄存器路径的最佳时序产量。随后,实验结果表明,某些ISCAS89电路的时序产率提高了约19%,可靠性提高了17%。

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