Considerations on the Implementation and Use of Anderson Acceleration on Distributed Memory and GPU-based Parallel Computers
DOI10.1007/978-3-319-34139-2_21zbMath1353.65045OpenAlexW2504276207MaRDI QIDQ2833052
John Loffeld, Carol S. Woodward
Publication date: 16 November 2016
Published in: Association for Women in Mathematics Series (Search for Journal in Brave)
Full work available at URL: https://www.osti.gov/biblio/1236735
performancealgorithmnumerical exampleparallel computationfixed-point iterationcomputational efficiencyleast squares minimizationQR factorizationAnderson accelerationnonlinear solversGMRES-like restarting procedure
Numerical computation of solutions to systems of equations (65H10) Parallel numerical computation (65Y05) Complexity and performance of numerical algorithms (65Y20)
Related Items (10)
Uses Software
Cites Work
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- ScaLAPACK: A portable linear algebra library for distributed memory computers -- design issues and performance
- Jacobian-free Newton-Krylov methods: a survey of approaches and applications.
- Communication-optimal Parallel and Sequential QR and LU Factorizations
- Two classes of multisecant methods for nonlinear acceleration
- Anderson Acceleration for Fixed-Point Iterations
- Hybrid Krylov Methods for Nonlinear Systems of Equations
- GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
- ScaLAPACK Users' Guide
- Iterative Procedures for Nonlinear Integral Equations
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