Jeffrey Cornelis
Jeffrey Cornelis
University of Antwerp, Department of Mathematics
Geverifieerd e-mailadres voor uantwerpen.be - Homepage
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The communication-hiding conjugate gradient method with deep pipelines
J Cornelis, S Cools, W Vanroose
arXiv preprint arXiv:1801.04728, 2018
202018
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
112019
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
42019
Projected Newton method for noise constrained ℓ p regularization
J Cornelis, W Vanroose
Inverse Problems 36 (12), 125004, 2020
22020
Projected Newton method for noise constrained Tikhonov regularization
J Cornelis, N Schenkels, W Vanroose
Inverse Problems 36 (5), 055002, 2020
22020
Sequential Projected Newton method for regularization of nonlinear least squares problems
J Cornelis, W Vanroose
arXiv preprint arXiv:2105.04988, 2021
2021
Convergence analysis of a regularized inexact interior-point method for linear programming problems
J Cornelis, W Vanroose
arXiv preprint arXiv:2105.01333, 2021
2021
Krylov-Simplex method that minimizes the residual in -norm or -norm
W Vanroose, J Cornelis
arXiv preprint arXiv:2101.11416, 2021
2021
Numerical Analysis of the Maximal Attainable Accuracy in Communication-hiding Pipelined Conjugate Gradients
S Cools, J Cornelis, E Agullo, E Fatih-Yetkin, L Giraud, W Vanroose
CSE19-SIAM Conference on Computational Science and Engineering, 2019
2019
Constructie, numerieke eigenschappen en parallelle performantie van communicatie reducerende pipelined Krylov deelruimte methoden
J Cornelis
Universiteit Antwerpen, 2017
2017
Projected Newton method for the regularization of ill-posed linear inverse problems
J Cornelis, N Schenkels, W Vanroose
Applied Mathematics 2, 2.5, 0
KRYLOV-SIMPLEX METHOD THAT MINIMIZES THE RESIDUAL
WIM VANROOSE, J CORNELIS
Hiding Global Reduction Latency in Pipelined Krylov Methods
S Cools, J Cornelis, W Vanroose, P Ghysels, EF Yetkin, E Agullo, ...
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