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DAC
2001
ACM
10 years 6 months ago
Efficient Large-Scale Power Grid Analysis Based on Preconditioned Krylov-Subspace Iterative Methods
In this paper, we propose preconditioned Krylov-subspace iterative methods to perform efficient DC and transient simulations for large-scale linear circuits with an emphasis on po...
Tsung-Hao Chen, Charlie Chung-Ping Chen
ISPD
2006
ACM
103views Hardware» more  ISPD 2006»
9 years 12 months ago
High accurate pattern based precondition method for extremely large power/ground grid analysis
In this paper, we propose more accurate power/ground network circuit model, which consider both via and ground bounce effects to improve the performance estimation accuracy of on-...
Jin Shi, Yici Cai, Sheldon X.-D. Tan, Xianlong Hon...
SC
2009
ACM
9 years 10 months ago
GPU based sparse grid technique for solving multidimensional options pricing PDEs
It has been shown that the sparse grid combination technique can be a practical tool to solve high dimensional PDEs arising in multidimensional option pricing problems in ļ¬nance...
Abhijeet Gaikwad, Ioane Muni Toke
DAC
2010
ACM
9 years 6 months ago
Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis
Leveraging the power of nowadays graphics processing units for robust power grid simulation remains a challenging task. Existing preconditioned iterative methods that require inco...
Zhuo Feng, Zhiyu Zeng
ASPDAC
2007
ACM
112views Hardware» more  ASPDAC 2007»
9 years 10 months ago
Efficient Second-Order Iterative Methods for IR Drop Analysis in Power Grid
Due to the extremely large sizes of power grids, IR drop analysis has become a computationally challenging problem both in terms of runtime and memory usage. It has been shown in [...
Yu Zhong, Martin D. F. Wong
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