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Parasitic-Aware Common-Centroid Binary-Weighted Capacitor Layout Generation Integrating Placement, Routing, and Unit Capacitor Sizing

机译:集成了布局,布线和单位电容器尺寸的寄生感知共中心二元加权电容器布局生成

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摘要

Capacitor sizing is a crucial step when designing charge-scaling digital-to-analog converters (DACs). Larger capacitor size can achieve better circuit accuracy and performance due to less impact from process gradient, parasitic mismatch, and local variation. However, it also results in larger chip area and higher power consumption. The size of binary-weighted capacitors in charge-scaling DACs is highly sensitive to the routing parasitics. Unmatched routing parasitics among binary-weighted capacitors will lead to large capacitor size for satisfying circuit accuracy and performance. Previous work focuses on the study of generating high-quality common-centroid placement of unit capacitor arrays while ignoring routing parasitics. None of them address the sizing of binary-weighed capacitors. This paper presents the first problem formulation in the literature which simultaneously considers capacitor sizing and parasitic matching during common-centroid capacitor layout generation such that the power consumption is minimized while the circuit accuracy/performance is also satisfied. Experimental results show that the proposed approach can achieve very significant chip area and power reductions compared with the state-of-the-art approaches.
机译:在设计电荷缩放数模转换器(DAC)时,电容器的尺寸确定是至关重要的一步。由于工艺梯度,寄生失配和局部变化的影响较小,较大的电容器尺寸可实现更好的电路精度和性能。但是,这也会导致更大的芯片面积和更高的功耗。电荷缩放DAC中的二进制加权电容器的尺寸对布线寄生效应高度敏感。二进制加权电容器之间无与伦比的布线寄生效应将导致电容器尺寸增大,从而满足电路精度和性能要求。先前的工作重点是在生成高质量的单位电容器阵列的公共质心放置而忽略布线寄生现象的研究。他们都没有解决二进制称重电容器的尺寸问题。本文提出了文献中的第一个问题公式,该问题公式同时考虑了共形电容布局生成过程中的电容大小和寄生匹配,从而在使功耗最小化的同时满足了电路的精度/性能。实验结果表明,与最新技术相比,该方法可以显着降低芯片面积并降低功耗。

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