Local Fourier analysis of the complex shifted Laplacian preconditioner for Helmholtz problems S Cools, W Vanroose Numerical Linear Algebra with Applications 20 (4), 575-597, 2013 | 47 | 2013 |

The communication-hiding pipelined BiCGStab method for the parallel solution of large unsymmetric linear systems S Cools, W Vanroose Parallel Computing 65, 1-20, 2017 | 28 | 2017 |

Analyzing the effect of local rounding error propagation on the maximal attainable accuracy of the pipelined conjugate gradient method S Cools, EF Yetkin, E Agullo, L Giraud, W Vanroose SIAM Journal on Matrix Analysis and Applications 39 (1), 426-450, 2018 | 20 | 2018 |

The communication-hiding conjugate gradient method with deep pipelines J Cornelis, S Cools, W Vanroose arXiv preprint arXiv:1801.04728, 2018 | 18 | 2018 |

A new level‐dependent coarse grid correction scheme for indefinite Helmholtz problems S Cools, B Reps, W Vanroose Numerical Linear Algebra with Applications 21 (4), 513-533, 2014 | 15 | 2014 |

On rounding error resilience, maximal attainable accuracy and parallel performance of the pipelined Conjugate Gradients method for large-scale linear systems in PETSc S Cools, W Vanroose, EF Yetkin, E Agullo, L Giraud Proceedings of the Exascale Applications and Software Conference 2016, 1-10, 2016 | 11 | 2016 |

An efficient multigrid calculation of the far field map for Helmholtz and Schrodinger equations S Cools, B Reps, W Vanroose SIAM Journal on Scientific Computing 36 (3), B367-B395, 2014 | 10 | 2014 |

Analysis of rounding error accumulation in Conjugate Gradients to improve the maximal attainable accuracy of pipelined CG S Cools, EF Yetkin, E Agullo, L Giraud, W Vanroose | 8 | 2016 |

Numerically stable recurrence relations for the communication hiding pipelined conjugate gradient method S Cools, J Cornelis, W Vanroose IEEE Transactions on Parallel and Distributed Systems 30 (11), 2507-2522, 2019 | 7 | 2019 |

Numerically stable variants of the communication-hiding pipelined conjugate gradients algorithm for the parallel solution of large scale symmetric linear systems S Cools, W Vanroose arXiv preprint arXiv:1706.05988, 2017 | 5 | 2017 |

A fast and robust computational method for the ionization cross sections of the driven Schrödinger equation using an O (N) multigrid-based scheme S Cools, W Vanroose Journal of Computational Physics 308, 20-39, 2016 | 5 | 2016 |

On soft errors in the Conjugate Gradient method: sensitivity and robust numerical detection-revised E Agullo, S Cools, E Fatih-Yetkin, L Giraud, N Schenkel, W Vanroose Inria Bordeaux Sud-Ouest, 2020 | 4 | 2020 |

On soft errors in the conjugate gradient method: sensitivity and robust numerical detection E Agullo, S Cools, EF Yetkin, L Giraud, N Schenkels, W Vanroose SIAM Journal on Scientific Computing 42 (6), C335-C358, 2020 | 4 | 2020 |

Analyzing and improving maximal attainable accuracy in the communication hiding pipelined BiCGStab method S Cools Parallel Computing 86, 16-35, 2019 | 4 | 2019 |

Numerical stability analysis of the class of communication hiding pipelined conjugate gradient methods S Cools arXiv preprint arXiv:1804.02962, 2018 | 4 | 2018 |

A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems S Cools, P Ghysels, W van Aarle, J Sijbers, W Vanroose Journal of Computational and Applied Mathematics 283, 1-16, 2015 | 4 | 2015 |

Generalization of the complex shifted Laplacian: on the class of expansion preconditioners for Helmholtz problems S Cools, W Vanroose ArXiv e-prints, 2015 | 4 | 2015 |

Improving strong scaling of the conjugate gradient method for solving large linear systems using global reduction pipelining S Cools, J Cornelis, P Ghysels, W Vanroose arXiv preprint arXiv:1905.06850, 2019 | 3 | 2019 |

Hard faults and soft-errors: Possible numerical remedies in linear algebra solvers E Agullo, S Cools, L Giraud, A Moreau, P Salas, W Vanroose, EF Yetkin, ... International Conference on Vector and Parallel Processing, 11-18, 2016 | 3 | 2016 |

Numerical analysis of the maximal attainable accuracy in communication hiding pipelined conjugate gradient methods S Cools arXiv preprint arXiv:1804.02962, 2018 | 2 | 2018 |