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A fast and robust mixed-precision solver for the solution of sparse symmetric linear systems

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Publication:2989100
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DOI10.1145/1731022.1731027zbMath1364.65070OpenAlexW2018136118WikidataQ113310495 ScholiaQ113310495MaRDI QIDQ2989100

Jennifer Scott, Jonathan Hogg

Publication date: 19 May 2017

Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1145/1731022.1731027

zbMATH Keywords

Gaussian eliminationmultifrontal methoditerative refinementFGMRESmixed precisionsparse symmetric linear systemsFortran 95


Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Direct numerical methods for linear systems and matrix inversion (65F05) Packaged methods for numerical algorithms (65Y15)


Related Items

Mixed precision algorithms in numerical linear algebra, Chebyshev acceleration of iterative refinement, A New Analysis of Iterative Refinement and Its Application to Accurate Solution of Ill-Conditioned Sparse Linear Systems, Accelerating the Solution of Linear Systems by Iterative Refinement in Three Precisions, New parallel sparse direct solvers for multicore architectures, HSL_MA79


Uses Software

  • AMD
  • HSL
  • LAPACK
  • MA57
  • SparseMatrix
  • Fortran_Virtual_Memory


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