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DAC
2001
ACM
15 years 11 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»
15 years 4 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...
111
Voted
SC
2009
ACM
15 years 2 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 finance...
Abhijeet Gaikwad, Ioane Muni Toke
101
Voted
DAC
2010
ACM
14 years 10 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
86
Voted
ASPDAC
2007
ACM
112views Hardware» more  ASPDAC 2007»
15 years 2 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