Accelerated simultaneous iterations for large finite element eigenproblems
Journal of Computational Physics
Krylov subspace methods on supercomputers
SIAM Journal on Scientific and Statistical Computing
Two-color fourier analysis of iterative algorithms for elliptic problems with red/black ordering
SIAM Journal on Scientific and Statistical Computing
An orthogonal accelerated deflation technique for large symmetric eigenproblems
Computer Methods in Applied Mechanics and Engineering
Nested iterations for symmetric eigenproblems
SIAM Journal on Scientific Computing
The symmetric eigenvalue problem
The symmetric eigenvalue problem
Iterative methods for large, sparse, nonsymmetric systems of linear equations
Iterative methods for large, sparse, nonsymmetric systems of linear equations
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In this paper we address ourselves to the problem of finding efficient parallel preconditioner for the interior generalized eigenvalue problem Ax = λBx, where A and B are large sparse symmetric positive definite matrices. We consider incomplete LU(ILU)(0) in two variants, Multi-Color block successive over-relaxation(SOR), and Point-symmetric SOR(SSOR). Our results show that for small number of processors the Multi-Color ILU(0) gives the best performance, while for large number of processors the Multi-Color Block SOR does.