A Parallel Refined Block Arnoldi Algorithm for Large Unsymmetric Matrices
Tao Zhao, Xuebin Chi, Jinrong Jiang, Jun Liu, Zhonghua Lu · 2009
This paper proposed a parallel refined block Arnoldi method for computing a few eigenvalues with largest or smallest real parts. The method accelerated by Chebyshev iteration is also investigated. We report some numerical results and compare the parallel refined block methods with single vector counterparts. The results show that the proposed method is more efficient than single vector counterparts.