The target of the project was the financial support of three PhD THesis on the development of parallelization algorithms for numerical analysis methods(iterative linear algebra methods). In particular the project targeted at the development of algorithms for the Recursive Projection Method (RPM), Generalized Minimal Residual (GMRES) and Matrix-Free Methods in the Krylov Subspace.

Development and Optimization of Parallel Algorithms in Beowulf Clusters for Complex Large-Scale Problems

Siettos Constantinos;
2005

Abstract

The target of the project was the financial support of three PhD THesis on the development of parallelization algorithms for numerical analysis methods(iterative linear algebra methods). In particular the project targeted at the development of algorithms for the Recursive Projection Method (RPM), Generalized Minimal Residual (GMRES) and Matrix-Free Methods in the Krylov Subspace.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/747584
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