Wissam M. Sid-Lakhdar

Modeling 1D Distributed-Memory Dense Kernels for an Asynchronous Multifrontal Sparse Solver

François-Henry Rouet, Patrick Amestoy, Jean-Yves L'Excellent, 2014, VECPAR.

A survey of direct methods for sparse linear systems

Timothy A. Davis, Sivasankaran Rajamanickam, Wissam M. Sid-Lakhdar, 2016, Acta Numerica.

Multitask and Transfer Learning for Autotuning Exascale Applications pdf

James Demmel, Xiaoye S. Li, Wissam M. Sid-Lakhdar, 2019, ArXiv.

Algorithm 9xx: Sparse QR Factorization on the GPU

Timothy A. Davis, Sanjay Ranka, Wissam M. Sid-Lakhdar, 2015 .

A study of shared-memory parallelism in a multifrontal solver

Jean-Yves L'Excellent, Wissam M. Sid-Lakhdar, J. L’Excellent, 2014, Parallel Comput..

Shared memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation (regular paper)

Patrick R. Amestoy, Jean-Yves L'Excellent, Alfredo Buttari, 2013 .

GPTune: multitask learning for autotuning exascale applications

James Demmel, Wissam M. Sid-Lakhdar, Yang Liu, 2021, PPoPP.

PAQR: Pivoting Avoiding QR factorization

Wissam M. Sid-Lakhdar, David B. Williams-Young, J. Dongarra, 2023, 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Lawrence Berkeley National Laboratory Recent Work Title A Parallel Hierarchical Blocked Adaptive Cross Approximation Algorithm Permalink

Wissam M. Sid-Lakhdar, Xiaoye S. Li, E. Rebrova, 2019 .

Algorithm 980: Sparse QR Factorization on the GPU

Wissam M. Sid-Lakhdar, S. Ranka, S. Yeralan, 2017, ACM Trans. Math. Softw..

Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering

Wissam M. Sid-Lakhdar, J. Dongarra, P. Luszczek, 2023, Int. J. High Perform. Comput. Appl..