Localizing Sparse Direct Solvers for Circuit Simulations
Robert J. Adams, O.T. Wilkerson, John C. Young, Indranil Chowdhury, W. Theil
Abstract
Robert J. Adams, O.T. Wilkerson, John C. Young, Indranil Chowdhury, W. Theil
Abstract
We report results obtained using a preconditioned fast iterative solver to model electrostatic circuit problems. The method of moments is used to discretize integral equation-based formulations of the underlying circuit problem. A compressed representation of the system matrix is obtained using the fast multipole method, and the resulting linear system is solved using a preconditioned iterative method. Preconditioners are constructed from a class of localization-based sparse direct solvers, and numerical performance is reported for realistic application ns. The impact of incorporating a multilevel matrix binormalization method is also examined, and resulting tradeoffs are discussed.
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We report results obtained using a preconditioned fast iterative solver to model electrostatic circuit problems. The method of moments is used to discretize integral equation-based formulations of the underlying circuit problem. A compressed representation of the system matrix is obtained using the fast multipole method, and the resulting linear system is solved using a preconditioned iterative method. Preconditioners are constructed from a class of localization-based sparse direct solvers, and numerical performance is reported for realistic application ns. The impact of incorporating a multilevel matrix binormalization method is also examined, and resulting tradeoffs are discussed.
Key concepts: Solver, Sparse matrix, Iterative method, Discretization, Computer science, Sparse approximation, Matrix (chemical analysis), Representation (politics)