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 | 62 | 2017 |
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 | 60 | 2013 |
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 | 43 | 2018 |
The communication-hiding conjugate gradient method with deep pipelines J Cornelis, S Cools, W Vanroose arXiv preprint arXiv:1801.04728, 2018 | 38 | 2018 |
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 | 26 | 2019 |
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 | 22 | 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 | 17 | 2016 |
Analyzing and improving maximal attainable accuracy in the communication hiding pipelined BiCGStab method S Cools Parallel Computing 86, 16-35, 2019 | 15 | 2019 |
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 | 12 | 2019 |
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 | 11 | 2020 |
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 Inria Bordeaux Sud-Ouest, 2016 | 9 | 2016 |
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 | 8 | 2017 |
An Efficient Multigrid Calculation of the Far Field Map for Helmholtz and Schrödinger Equations S Cools, B Reps, W Vanroose SIAM Journal on Scientific Computing 36 (3), B367-B395, 2014 | 8 | 2014 |
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, ... High Performance Computing for Computational Science–VECPAR 2016: 12th …, 2017 | 7 | 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 | 7 | 2016 |
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 | 6 | 2015 |
Generalization of the complex shifted Laplacian: on the class of expansion preconditioners for Helmholtz problems S Cools, W Vanroose ArXiv e-prints, 2015 | 6 | 2015 |
A complementary note on soft errors in the Conjugate Gradient method: the persistent error case E Agullo, S Cools, E Fatih-Yetkin, L Giraud, N Schenkels, W Vanroose Inria Bordeaux Sud-Ouest, 2020 | 5 | 2020 |
Numerical stability analysis of the class of communication hiding pipelined conjugate gradient methods S Cools arXiv preprint arXiv:1804.02962, 2018 | 5 | 2018 |
On the optimality of shifted Laplacian in a class of polynomial preconditioners for the Helmholtz equation S Cools, W Vanroose Modern Solvers for Helmholtz Problems, 53-81, 2017 | 5 | 2017 |