A Unified Approach to Parallel Block-Jacobi Methods for the Symmetric Eigenvalue Problem

Author:

Giménez D.,Hernández Vicente,Vidal Antonio M.

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Demmel, J., Stanley, K.: The Performance of Finding Eigenvalues and Eigenvectors of Dense Symmetric Matrices on Distributed Memory Computers. In: Bailey, D.H., Bjørstad, P.E., Gilbert, J.R., Mascagni, M.V., Schreiber, R.S., Simon, H.D., Torczon, V.J., Watson, L.T. (eds.) Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, pp. 528–533. SIAM, Philadelphia (1995)

2. Schreiber, R.: Solving eigenvalue and singular value problems on an undersized systolic array. SIAM J. Sci. Stat. Comput. 7(2), 441–451 (1986)

3. Schroff, G., Schreiber, R.: On the convergence of the cyclic Jacobi method for parallel block orderings. SIAM J. Matrix Anal. Appl. 10(3), 326–346 (1989)

4. Bischof, C.H.: Computing the singular value decomposition on a distributed system of vector processors. Parallel Computing 11, 171–186 (1989)

5. Giménez, D., Hernández, V., van de Geijn, R., Vidal, A.M.: A block Jacobi method on a mesh of processors. Concurrency: Practice and Experience 9(5), 391–411 (1997)

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