Solving linear systems arising from reservoirs modelling. (Résolution de systèmes linéaires issus de la modélisation des réservoirs). - Hussam Al Daas (2018)

A Class of Efficient Locally Constructed Preconditioners Based on Coarse Spaces. - Hussam Al Daas; Laura Grigori (SIAM J. Matrix Anal. Appl., 2019)

Low-Rank and Total Variation Regularization and Its Application to Image Recovery. - Pawan Goyal 003; Hussam Al Daas; Peter Benner (CoRR, 2020)

A Multilevel Schwarz Preconditioner Based on a Hierarchy of Robust Coarse Spaces. - Hussam Al Daas; Laura Grigori; Pierre Jolivet; Pierre-Henri Tournier (SIAM J. Sci. Comput., 2021)

Two-Level Nyström-Schur Preconditioner for Sparse Symmetric Positive Definite Matrices. - Hussam Al Daas; Tyrone Rees; Jennifer A. Scott (SIAM J. Sci. Comput., 2021)

Recycling Krylov Subspaces and Truncating Deflation Subspaces for Solving Sequence of Linear Systems. - Hussam Al Daas; Laura Grigori; Pascal Hénon; Philippe Ricoux (ACM Trans. Math. Softw., 2021)

Parallel Tensor Train Rounding using Gram SVD. - Hussam Al Daas; Grey Ballard; Lawton Manning (IPDPS, 2022)

Brief Announcement: Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse (SPAA, 2022)

Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse (CoRR, 2022)

Parallel Algorithms for Tensor Train Arithmetic. - Hussam Al Daas; Grey Ballard; Peter Benner (SIAM J. Sci. Comput., 2022)

A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations. - Hussam Al Daas; Pierre Jolivet; Jennifer A. Scott (SIAM J. Sci. Comput., 2022)

A Robust Algebraic Multilevel Domain Decomposition Preconditioner for Sparse Symmetric Positive Definite Matrices. - Hussam Al Daas; Pierre Jolivet (SIAM J. Sci. Comput., 2022)

Parallel Memory-Independent Communication Bounds for SYRK. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse (SPAA, 2023)

Randomized Algorithms for Rounding in the Tensor-Train Format. - Hussam Al Daas; Grey Ballard; Paul Cazeaux; Eric Hallman; Agnieszka Miedlar; Mirjeta Pasha; Tim W. Reid; Arvind K. Saibaba (SIAM J. Sci. Comput., 2023)

Efficient Algebraic Two-Level Schwarz Preconditioner for Sparse Matrices. - Hussam Al Daas; Pierre Jolivet; Tyrone Rees (SIAM J. Sci. Comput., 2023)

A Robust Two-Level Schwarz Preconditioner For Sparse Matrices. - Hussam Al Daas; Pierre Jolivet; Frédéric Nataf; Pierre-Henri Tournier (CoRR, 2024)

Matrix perturbation analysis of methods for extracting singular values from approximate singular subspaces. - Lorenzo Lazzarino; Hussam Al Daas; Yuji Nakatsukasa (CoRR, 2024)

Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse (SIAM J. Matrix Anal. Appl., 2024)

Brief Announcement: Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse; Mathieu Vérité (SPAA, 2025)

A Robust Algebraic Two-Level Schwarz Preconditioner for Sparse Matrices. - Hussam Al Daas; Pierre Jolivet; Frédéric Nataf; Pierre-Henri Tournier (SIAM J. Sci. Comput., 2025)

Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse; Mathieu Vérité (CoRR, 2025)

Communication Lower Bounds and Optimal Algorithms for Symmetric Matrix Computations. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse; Mathieu Vérité (ACM Trans. Parallel Comput., 2025)

Minimal residual rational Krylov subspace method for sequences of shifted linear systems. - Hussam Al Daas; Davide Palitta (CoRR, 2025)