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Squeezing the most out of eigenvalue solvers on high-performance computers

  • Published:1986-05 Issue: Volume:77 Page:113-136
  • ISSN:0024-3795
  • Container-title:Linear Algebra and its Applications
  • language:en
  • Short-container-title:Linear Algebra and its Applications

Author:

Dongarra Jack J.,Kaufman Linda,Hammarling Sven

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference13 articles.

1. An improved algorithm for computing the singular values decomposition;Chan;ACM Trans. Math. Software,1982

2. Squeezing the most out of an algorithm in CRAY Fortran;Dongarra;ACM Trans. Math. Software,1984

3. EISPACK—A package for solving matrix eigenvalue problems;Dongarra,1984

4. Squeezing the most out of eigenvalue solvers on high-performance computers;Dongarra,1985

5. Some linear algebra algorithms and their performance on the CRAY-1;Fong,1977

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1. FLOPs as a Discriminant for Dense Linear Algebra Algorithms;Proceedings of the 51st International Conference on Parallel Processing;2022-08-29

2. ELPA: A Parallel Solver for the Generalized Eigenvalue Problem1;Parallel Computing: Technology Trends;2020-03-20

3. Cannon-type triangular matrix multiplication for the reduction of generalized HPD eigenproblems to standard form;Parallel Computing;2020-03

4. Scheduling dense linear algebra operations on multicore processors;Concurrency and Computation: Practice and Experience;2010-01

5. A class of parallel tiled linear algebra algorithms for multicore architectures;Parallel Computing;2009-01
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