| A survey of direct methods for sparse linear systems TA Davis, S Rajamanickam, WM Sid-Lakhdar Acta Numerica 25, 383-566, 2016 | 290 | 2016 |
| Algorithm 980: Sparse QR factorization on the GPU SN Yeralan, TA Davis, WM Sid-Lakhdar, S Ranka ACM Transactions on Mathematical Software (TOMS) 44 (2), 1-29, 2017 | 54* | 2017 |
| GPTune: Multitask learning for autotuning exascale applications Y Liu, WM Sid-Lakhdar, O Marques, X Zhu, C Meng, JW Demmel, XS Li Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021 | 40 | 2021 |
| A study of shared-memory parallelism in a multifrontal solver JY L¢Excellent, WM Sid-Lakhdar Parallel Computing 40 (3-4), 34-46, 2014 | 22 | 2014 |
| A parallel hierarchical blocked adaptive cross approximation algorithm Y Liu, W Sid-Lakhdar, E Rebrova, P Ghysels, XS Li The International Journal of High Performance Computing Applications 34 (4 …, 2020 | 21 | 2020 |
| Shared-memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation P Amestoy, A Buttari, G Joslin, JY L'Excellent, M Sid-Lakhdar, ... IEEE transactions on magnetics 50 (2), 517-520, 2014 | 17 | 2014 |
| Modeling 1D distributed-memory dense kernels for an asynchronous multifrontal sparse solver PR Amestoy, JY L¢Excellent, FH Rouet, WM Sid-Lakhdar International Conference on High Performance Computing for Computational …, 2014 | 11 | 2014 |
| Gptune user guide WM Sid-Lakhdar, Y Cho, JW Demmel, H Luo, XS Li, Y Liu, O Marques Alphabetic, 2020 | 10 | 2020 |
| Multitask and transfer learning for autotuning exascale applications WM Sid-Lakhdar, MM Aznaveh, XS Li, JW Demmel arXiv preprint arXiv:1908.05792, 2019 | 10 | 2019 |
| Recent advances in sparse direct solvers E Agullo, P Amestoy, A Buttari, A Guermouche, G Joslin, JY l'Excellent, ... 22nd International Conference on Structural Mechanics in Reactor Technology …, 2013 | 8 | 2013 |
| SuiteSparse, 2020 T Davis, P Amestoy, D Bateman, Y Chen, I Duff, L Foster, W Hager, ... | 7 | |
| Multifrontal massively parallel solver (mumps 5.3. 0) user¢s guide E Agullo, P Amestoy, M Bremond, A Buttari, P Combes, M Durand, ... Tech. rep., CERFACS, ENS Lyon, INPT (ENSEEIHT)-IRIT, Inria, Mumps …, 2020 | 6 | 2020 |
| Scaling multifrontal methods for the solution of large sparse linear systems on hybrid shared-distributed memory architectures WM Sid-Lakhdar Ph. D. dissertation. ENS Lyon, 2014 | 5 | 2014 |
| Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering P Luszczek, WM Sid-Lakhdar, J Dongarra The International Journal of High Performance Computing Applications 37 (3-4 …, 2023 | 2 | 2023 |
| Characterizing asynchronous broadcast trees for multifrontal factorizations PR Amestoy, JY L¢Excellent, WM Sid-Lakhdar Proc. SIAM Workshop on Combinatorial Scientific Computing (CSC14), Lyon …, 2014 | 2 | 2014 |
| PAQR: Pivoting avoiding QR factorization W Sid-Lakhdar, S Cayrols, D Bielich, A Abdelfattah, P Luszczek, M Gates, ... 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023 | 1 | 2023 |
| Deep Gaussian process with multitask and transfer learning for performance optimization WM Sid-Lakhdar, M Aznaveh, P Luszczek, J Dongarra 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2022 | 1 | 2022 |
| liuyangzhuan/ButterflyPACK ButterflyPACK Y Liu, W Sid-Lakhdar, P Ghysels, XS Li, H Guo, E Michielssen, H Yang | | |
| User¢s Guide for SuiteSparseQR, a multifrontal multithreaded sparse QR factorization package (with optional GPU acceleration) TA Davis, SN Yeralan, S Ranka, W Sid-Lakhdar | | |
