Utilizing Robustness of Krylov Subspace Methods in Reducing the Effort of Sparse Matrix Vector Multiplication

Author:

Mansour Ahmad,Götze Jürgen

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

1. Floating-point sparse matrix- vector multiply for FPGAs in: International Symposium on Field- Programmable Gate Arrays;deLorimier,2005

2. Sparse matrix computations on reconfigurable hardware;Morris;Computer,2007

3. V. Fraysse’, Inexact matrix-vector products in Krylov methods for solving linear systems: A relaxation strategy;Bouras;SIAM Journal on Matrix Analysis and Applications,2005

4. Theory of inexact Krylov subspace methods and applications to scientific computing;Simoncini;SIAM Journal on Scientific Computing,2003

5. Range-space variants and inexact matrix-vector products in Krylov solvers for linear systems arising from inverse problems, Tech. Rep. TR/PA/10/14 CERFACS;Gratton,2011

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