| Parallel algorithms for tensor train arithmetic HA Daas, G Ballard, P Benner SIAM Journal on Scientific Computing 44 (1), C25-C53, 2022 | 33 | 2022 |
| A multilevel Schwarz preconditioner based on a hierarchy of robust coarse spaces H Al Daas, L Grigori, P Jolivet, PH Tournier SIAM Journal on Scientific Computing 43 (3), A1907-A1928, 2021 | 23 | 2021 |
| Recycling Krylov subspaces and truncating deflation subspaces for solving sequence of linear systems HA Daas, L Grigori, P Hénon, P Ricoux ACM Transactions on Mathematical Software (TOMS) 47 (2), 1-30, 2021 | 21* | 2021 |
| Randomized algorithms for rounding in the tensor-train format H Al Daas, G Ballard, P Cazeaux, E Hallman, A Międlar, M Pasha, ... SIAM Journal on Scientific Computing 45 (1), A74-A95, 2023 | 19 | 2023 |
| A class of efficient locally constructed preconditioners based on coarse spaces H Al Daas, L Grigori SIAM Journal on Matrix Analysis and Applications 40 (1), 66-91, 2019 | 17 | 2019 |
| Enlarged GMRES for solving linear systems with one or multiple right-hand sides H Al Daas, L Grigori, P Hénon, P Ricoux IMA Journal of Numerical Analysis 39 (4), 1924-1956, 2019 | 12* | 2019 |
| Two-level Nyström--Schur preconditioner for sparse symmetric positive definite matrices H Al Daas, T Rees, J Scott SIAM Journal on Scientific Computing 43 (6), A3837--A3861, 2021 | 10 | 2021 |
| A robust algebraic domain decomposition preconditioner for sparse normal equations H Al Daas, P Jolivet, JA Scott SIAM Journal on Scientific Computing 44 (3), A1047-A1068, 2022 | 9 | 2022 |
| A robust algebraic multilevel domain decomposition preconditioner for sparse symmetric positive definite matrices H Al Daas, P Jolivet SIAM Journal on Scientific Computing 44 (4), A2582-A2598, 2022 | 7 | 2022 |
| Efficient algebraic two-level Schwarz preconditioner for sparse matrices H Al Daas, P Jolivet, T Rees SIAM Journal on Scientific Computing 45 (3), A1199-A1213, 2023 | 6 | 2023 |
| Brief Announcement: Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds H Al Daas, G Ballard, L Grigori, S Kumar, K Rouse Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and …, 2022 | 3 | 2022 |
| A class of efficient locally constructed preconditioners based on coarse spaces H Al Daas, L Grigori Inria–Centre Paris-Rocquencourt; Laboratoire Jacques-Louis Lions, UPMC, Paris, 2018 | 2 | 2018 |
| Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation H Al Daas, G Ballard, L Grigori, S Kumar, K Rouse SIAM Journal on Matrix Analysis and Applications 45 (1), 450-477, 2024 | 1 | 2024 |
| Parallel tensor train rounding using gram svd H Al Daas, G Ballard, L Manning 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 1 | 2022 |
| Low-Rank and Total Variation Regularization and Its Application to Image Recovery P Goyal, H Al Daas, P Benner arXiv preprint arXiv:2003.05698, 2020 | 1 | 2020 |
| Solving linear systems arising from reservoirs modeling H Al Daas Inria Paris; Sorbonne Université, UPMC University of Paris 6, Laboratoire …, 2018 | 1 | 2018 |
| A Robust Two-Level Schwarz Preconditioner For Sparse Matrices HA Daas, P Jolivet, F Nataf, PH Tournier arXiv preprint arXiv:2401.03915, 2024 | | 2024 |
| Parallel Memory-Independent Communication Bounds for SYRK H Al Daas, G Ballard, L Grigori, S Kumar, K Rouse Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and …, 2023 | | 2023 |
| An extended Krylov-like method for the solution of multi-linear systems H Al Daas, D Lombardi | | 2021 |
| Solving linear systems arising from reservoirs modelling.(Résolution de systèmes linéaires issus de la modélisation des réservoirs). H Al Daas Sorbonne University, France, 2018 | | 2018 |
Laura GrigoriEPFL and PSI, SwitzerlandVerified email at epfl.ch
