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Context-dependent transformation of Pareto-optimal performance fronts of operational amplifiers

机译:运算放大器的帕累托最优性能前沿的上下文相关转换

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摘要

The use of Pareto-optimal performance fronts in emerging design methodologies for analog integrated circuits is a keystone to overcome the limitations of traditional design methodologies. However, most techniques to generate the fronts reported so far neglect the effect that the surrounding circuitry (such as the load impedance) has on the Pareto-front, thereby making it only realistic for the context where the front was generated. This strongly limits the use of the Pareto front because of the strong dependence between the key performances of an analog circuit and its surrounding circuitry, but, more importantly, because this circuitry remains unknown until the Pareto-optimal front is being used. Since performance front generation is a costly process, this paper proposes that performance fronts for a new context of use of a given circuit can be obtained from fronts that were previously generated under some different conditions. Towards this goal, a transformation methodology for performance objectives of operational amplifiers has been developed. Experimental results for a folded-cascode and a Miller-compensated operational amplifiers show that this is a promising approach to reuse the fronts in multiple contexts.
机译:在新兴的模拟集成电路设计方法中使用帕累托最优性能前沿是克服传统设计方法局限性的基石。但是,到目前为止,大多数报道的产生前沿的技术都忽略了周围电路(例如负载阻抗)对帕累托效应的影响,因此仅对于产生前沿的情况才是现实的。由于模拟电路的关键性能与其周围电路之间的强烈依赖关系,因此强烈限制了Pareto前沿的使用,但是,更重要的是,由于在使用Pareto最优前沿之前,该电路仍然未知。由于性能前沿的产生是一个昂贵的过程,因此本文提出,可以从先前在某些不同条件下生成的前沿中获得使用给定电路的新上下文的性能前沿。为了实现这一目标,已经开发出一种用于运算放大器性能目标的转换方法。折叠共源共栅和米勒补偿运算放大器的实验结果表明,这是在多种情况下重用前端的一种有前途的方法。

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