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Common-centroid capacitor placement considering systematic and random mismatches in analog integrated circuits

机译:考虑模拟集成电路中系统性和随机性不匹配的共质心电容器放置

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One of the most important issues during the analog layout phase is to achieve accurate capacitance ratios. However, systematic and random mismatches will affect the accuracy of the capacitance ratios. A common-centroid placement is helpful to reduce the systematic mismatch, but it still needs the property of high dispersion to reduce the random mismatch [10]. To deal with this problem, we propose a simulated annealing [15] based approach to construct a common-centroid placement which exhibits the highest possible degree of dispersion. To facilitate this framework, we first propose the pair-sequence representation to represent a common-centroid placement. Then, we present three operations to perturb the representation, which can increase the degree of dispersion without breaking the common-centroid constraint in the resulting placement. Finally, to enhance the efficiency of our simulated annealing based approach, we propose three techniques to speed up our program. The experimental results show that our placements can simultaneously achieve smaller oxide-gradient-induced mismatch and larger overall correlation coefficients (i.e., higher degree of dispersion) than [10] in all test cases. Besides, our program can run much faster than [10] in larger benchmarks.
机译:在模拟布局阶段,最重要的问题之一就是要获得准确的电容比。但是,系统性和随机性的不匹配将影响电容比的准确性。普通质心放置有助于减少系统失配,但仍然需要高分散性以减少随机失配[10]。为了解决这个问题,我们提出了一种基于模拟退火[15]的方法来构造具有最大分散度的普通质心放置。为了简化此框架,我们首先提出对序列表示法,以表示公共质心放置。然后,我们提出三种操作来扰动表示,这可以增加分散度,而不会破坏结果放置中的公共质心约束。最后,为了提高基于模拟退火的方法的效率,我们提出了三种技术来加快程序速度。实验结果表明,在所有测试案例中,与[10]相比,我们的布局可同时实现较小的氧化物梯度引起的失配和较大的整体相关系数(即较高的分散度)。此外,在较大的基准测试中,我们的程序的运行速度比[10]快得多。

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