A Parallel, Block, Jacobi-Davidson Implementation for Solving Large Eigenproblems on Coarse Grain Environment

Abstract

Iterative methods often provide the only means of solving large eigenvalue problems. Their block variants converge slowly but they are robust especially in the presence of multiplicities. Precon-ditioning is often used to improve convergence. Yet, for large matrices, the demands posed on the available computing resources are huge. Clusters of workstations… (More)

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Cite this paper

@inproceedings{Stathopoulos1999APB, title={A Parallel, Block, Jacobi-Davidson Implementation for Solving Large Eigenproblems on Coarse Grain Environment}, author={Andreas T Stathopoulos and James R. McCombs}, booktitle={PDPTA}, year={1999} }