Wissam M. Sid-Lakhdar
Geciteerd door
Geciteerd door
A survey of direct methods for sparse linear systems
TA Davis, S Rajamanickam, WM Sid-Lakhdar
Acta Numerica 25, 383-566, 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
A study of shared-memory parallelism in a multifrontal solver
JY L’Excellent, WM Sid-Lakhdar
Parallel Computing 40 (3-4), 34-46, 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
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
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
Multitask and transfer learning for autotuning exascale applications
WM Sid-Lakhdar, MM Aznaveh, XS Li, JW Demmel
arXiv preprint arXiv:1908.05792, 2019
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
Characterizing asynchronous broadcast trees for multifrontal factorizations
PR Amestoy, JY L’Excellent, WM Sid-Lakhdar
CSC14: The Sixth SIAM Workshop on Combinatorial Scientific Computing, 51, 2014
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
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