FastSies: a fast stochastic integral equation solver for modeling the rough surface effect

ICCAD(2005)

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摘要
In this paper we describe several novel sparsification techniques used in a fast stochastic integral equation solver to compute the mean value and the variance of capacitance of 3D interconnects with random surface roughness. With the combination of these numerical techniques, the computational cost has been reduced from O(N/sup 4/) to O(Nlog/sup 2/(N)), where N is the number of panels used for the discretization of nominal smooth surfaces. Numerical experiments show that the proposed numerical techniques are accurate and efficient.
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关键词
fast stochastic integral equation,rough surface effect,numerical experiment,numerical technique,nominal smooth surface,mean value,novel sparsification technique,proposed numerical technique,random surface roughness,computational cost,stochastic processes,integral equations,surface roughness,rough surfaces
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