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IPPS
2006
IEEE
14 years 4 months ago
On the performance of parallel normalized explicit preconditioned conjugate gradient type methods
A new class of parallel normalized preconditioned conjugate gradient type methods in conjunction with normalized approximate inverses algorithms, based on normalized approximate f...
George A. Gravvanis, Konstantinos M. Giannoutakis
AMC
2006
80views more  AMC 2006»
13 years 11 months ago
Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems
A parallel algorithm based on the multidimensional minimization of the Rayleigh quotient is proposed to evaluate the leftmost eigenpairs of the generalized symmetric positive defi...
Luca Bergamaschi, Angeles Martinez, Giorgio Pini
SIAMMAX
2010
156views more  SIAMMAX 2010»
13 years 5 months ago
Preconditioned Conjugate Gradient Method for Optimal Control Problems with Control and State Constraints
Optimality systems and their linearizations arising in optimal control of partial differential equations with pointwise control and (regularized) state constraints are considered. ...
Roland Herzog, Ekkehard W. Sachs
PPOPP
1993
ACM
14 years 2 months ago
Experience with Fine-Grain Synchronization in MIMD Machines for Preconditioned Conjugate Gradient
This paper discusses our experience with fine-grain synchronization for a variant of the preconditioned conjugate gradient method. This algorithm represents a large class of algo...
Donald Yeung, Anant Agarwal
IPPS
1995
IEEE
14 years 2 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