@inproceedings{86178032e2b945a0b79bc4261c70f2af,
title = "Parallel performance of an iterative solver based on the golub-kahan bidiagonalization",
abstract = "We present an iterative method based on a generalization of the Golub-Kahan bidiagonalization for solving indefinite matrices with a 2×2 block structure. We focus in particular on our recent implementation of the algorithm using the parallel numerical library PETSc. Since the algorithm is a nested solver, we investigate different choices for parallel inner solvers and show its strong scalability for two Stokes test problems. The algorithm is found to be scalable for large sparse problems.",
keywords = "Golub-Kahan bidiagonalization, Iterative solver, PETSc, Parallel performance",
author = "Carola Kruse and Masha Sosonkina and Mario Arioli and Nicolas Tardieu and Ulrich R{\"u}de",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019 ; Conference date: 08-09-2019 Through 11-09-2019",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-43229-4\_10",
language = "English",
isbn = "9783030432287",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "104--116",
editor = "Roman Wyrzykowski and Konrad Karczewski and Ewa Deelman and Jack Dongarra",
booktitle = "Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Revised Selected Papers",
}