Multifrontal QR Factorization in a Multiprocessor Environment

Author:

Amestoy P. R.,Duff I. S.,Puglisi C.

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Reference27 articles.

1. Factorization of large sparse matrices based on a multifrontal approach in a multiprocessor environment. Phd thesis, Institut National Polytechnique de Toulouse, 1991. Available as CERFACS report TH/PA/91/2.

2. and . Use of Level 3 B U S kernels in the solution of full and sparse linear equations. Proceedings of the European Symposium on High Performance Computing, pages 19-31. Elsevier Science Publishers B.V., 1989.

3. Memory Management Issues in Sparse Multifrontal Methods On Multiprocessors

4. The natural factor formulation of the stiffness for the matrix displacement method

5. Predicting fill for sparse orthogonal factorization

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