Interpolation-Restart Strategies for Resilient Eigensolvers

DOI10.1137/15M1042115zbMath1351.65025OpenAlexW2504412359MaRDI QIDQ2827052

Pablo Salas, Emmanuel Agullo, Luc Giraud, Mawussi Zounon

Publication date: 12 October 2016

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

Full work available at URL: https://doi.org/10.1137/15m1042115

zbMATH Keywords

numerical methodsparallel computationfault toleranceeigenvalue problemsnumerical experimentJacobi-DavidsonArnoldisubspace iterationhard faultlarge-sparse problemnumerical resiliency

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Parallel numerical computation (65Y05)

Related Items (6)

Numerical recovery strategies for parallel resilient Krylov linear solvers ⋮ The least squares and line search in extracting eigenpairs in Jacobi-Davidson method ⋮ Towards local-failure local-recovery in PDE frameworks: the case of linear solvers ⋮ Is the Multigrid Method Fault Tolerant? The Two-Grid Case ⋮ Interpolation-Restart Strategies for Resilient Eigensolvers ⋮ Hard Faults and Soft-Errors: Possible Numerical Remedies in Linear Algebra Solvers

Uses Software

• SparseMatrix
• Online-ABFT
• ickp

Cites Work

• Unnamed Item
• Unnamed Item
• Matrix Algorithms
• Interpolation-Restart Strategies for Resilient Eigensolvers
• Numerical recovery strategies for parallel resilient Krylov linear solvers
• The university of Florida sparse matrix collection
• Algorithm-Based Fault Tolerance for Matrix Operations
• Recovery Patterns for Iterative Methods in a Parallel Unstable Environment
• A linear algebraic model of algorithm-based fault tolerance
• Jacobi--Davidson Style QR and QZ Algorithms for the Reduction of Matrix Pencils
• A Jacobi--Davidson Iteration Method for Linear Eigenvalue Problems
• Deflation Techniques for an Implicitly Restarted Arnoldi Iteration
• Spectral recycling strategies for the solution of nonlinear eigenproblems in thermoacoustics
• The principle of minimized iterations in the solution of the matrix eigenvalue problem

This page was built for publication: Interpolation-Restart Strategies for Resilient Eigensolvers