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» Wavelet based preconditioners for sparse linear systems
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AMC
2005
87views more  AMC 2005»
13 years 4 months ago
Wavelet based preconditioners for sparse linear systems
A class of efficient preconditioners based on Daubechies family of wavelets for sparse, unsymmetric linear systems that arise in numerical solution of Partial Differential Equatio...
B. V. Rathish Kumar, Mani Mehra
IPPS
1995
IEEE
13 years 8 months ago
Performance evaluation of a new parallel preconditioner
The linear systems associated with large, sparse, symmetric, positive definite matrices are often solved iteratively using the preconditioned conjugate gradient method. We have d...
Keith D. Gremban, Gary L. Miller, Marco Zagha
PC
2011
413views Management» more  PC 2011»
12 years 11 months ago
Exploiting thread-level parallelism in the iterative solution of sparse linear systems
We investigate the efficient iterative solution of large-scale sparse linear systems on shared-memory multiprocessors. Our parallel approach is based on a multilevel ILU precondit...
José Ignacio Aliaga, Matthias Bollhöfe...
PARA
2004
Springer
13 years 10 months ago
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning
Abstract. We consider parallel preconditioning schemes to accelerate the convergence of Conjugate Gradients (CG) for sparse linear system solution. We develop methods for construct...
Keita Teranishi, Padma Raghavan
SIAMMAX
2010
146views more  SIAMMAX 2010»
12 years 11 months ago
A Comparison of Two-Level Preconditioners Based on Multigrid and Deflation
It is well-known that two-level and multi-level preconditioned conjugate gradient (PCG) methods provide efficient techniques for solving large and sparse linear systems whose coeff...
J. M. Tang, S. P. MacLachlan, Reinhard Nabben, C. ...