Hussam Al Daas

According to our database, Hussam Al Daas authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., March, 2024

Communication Lower Bounds and Optimal Algorithms for Symmetric Matrix Computations.

Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse, Mathieu Verite

CoRR, 2024

Matrix perturbation analysis of methods for extracting singular values from approximate singular subspaces.

Lorenzo Lazzarino, Hussam Al Daas, Yuji Nakatsukasa

CoRR, 2024

A Robust Two-Level Schwarz Preconditioner For Sparse Matrices.

Hussam Al Daas, Pierre Jolivet, Frédéric Nataf, Pierre-Henri Tournier

CoRR, 2024

2023

Efficient Algebraic Two-Level Schwarz Preconditioner for Sparse Matrices.

Hussam Al Daas, Pierre Jolivet, Tyrone Rees

SIAM J. Sci. Comput., June, 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., February, 2023

Parallel Memory-Independent Communication Bounds for SYRK.

Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse

Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023

2022

A Robust Algebraic Multilevel Domain Decomposition Preconditioner for Sparse Symmetric Positive Definite Matrices.

Hussam Al Daas, Pierre Jolivet

SIAM J. Sci. Comput., August, 2022

A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations.

Hussam Al Daas, Pierre Jolivet, Jennifer A. Scott

SIAM J. Sci. Comput., 2022

Parallel Algorithms for Tensor Train Arithmetic.

Hussam Al Daas, Grey Ballard, Peter Benner

SIAM J. Sci. Comput., 2022

Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds.

Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse

CoRR, 2022

Brief Announcement: Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds.

Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse

Proceedings of the SPAA '22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11, 2022

Parallel Tensor Train Rounding using Gram SVD.

Hussam Al Daas, Grey Ballard, Lawton Manning

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

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

Two-Level Nyström-Schur Preconditioner for Sparse Symmetric Positive Definite Matrices.

Hussam Al Daas, Tyrone Rees, Jennifer A. Scott

SIAM J. Sci. Comput., 2021

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

2020

Low-Rank and Total Variation Regularization and Its Application to Image Recovery.

Pawan Goyal, Hussam Al Daas, Peter Benner

CoRR, 2020

2019

A Class of Efficient Locally Constructed Preconditioners Based on Coarse Spaces.

Hussam Al Daas, Laura Grigori

SIAM J. Matrix Anal. Appl., 2019

2018

Solving linear systems arising from reservoirs modelling. (Résolution de systèmes linéaires issus de la modélisation des réservoirs).

Hussam Al Daas

PhD thesis, 2018