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 / Boudouvis, Andreas; Siettos, Konstantinos; Kozyris, Nektarios. - (2005). (Intervento presentato al convegno Development and Optimization of Parallel Algorithms in Beowulf Clusters for Complex Large-Scale Problems nel 2005).
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
