A Parallel Eigensolver for Dense Symmetric Matrices Based on Multiple Relatively Robust Representations

DOI10.1137/030601107zbMath1087.65032OpenAlexW2032069142MaRDI QIDQ5693186

Paolo Bientinesi, Inderjit S. Dhillon, Robert A. van de Geijn

Publication date: 22 September 2005

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/030601107

zbMATH Keywords

complexityalgorithmcomparison of methodsnumerical exampleseigenvalueseigenvectorsparallel computingsymmetric matrixrelatively robust representations

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Parallel numerical computation (65Y05) Complexity and performance of numerical algorithms (65Y20)

Related Items (3)

Solving dense generalized eigenproblems on multi-threaded architectures ⋮ Randomized Joint Diagonalization of Symmetric Matrices ⋮ A note on generating finer‐grain parallelism in a representation tree

Uses Software

• LAPACK
• ScaLAPACK
• PLAPACK
• PeIGS
• BRENT

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