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Hussam Al Daas
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2020 – today
- 2024
- [j10]Hussam Al Daas
, Grey Ballard
, Laura Grigori
, Suraj Kumar
, Kathryn Rouse
:
Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation. SIAM J. Matrix Anal. Appl. 45(1): 450-477 (2024) - [i10]Hussam Al Daas, Pierre Jolivet, Frédéric Nataf, Pierre-Henri Tournier:
A Robust Two-Level Schwarz Preconditioner For Sparse Matrices. CoRR abs/2401.03915 (2024) - 2023
- [j9]Hussam Al Daas
, Grey Ballard
, Paul Cazeaux
, Eric Hallman
, Agnieszka Miedlar, Mirjeta Pasha
, Tim W. Reid, Arvind K. Saibaba
:
Randomized Algorithms for Rounding in the Tensor-Train Format. SIAM J. Sci. Comput. 45(1): 74- (2023) - [j8]Hussam Al Daas
, Pierre Jolivet, Tyrone Rees
:
Efficient Algebraic Two-Level Schwarz Preconditioner for Sparse Matrices. SIAM J. Sci. Comput. 45(3): 1199-1213 (2023) - [c3]Hussam Al Daas
, Grey Ballard
, Laura Grigori
, Suraj Kumar
, Kathryn Rouse
:
Parallel Memory-Independent Communication Bounds for SYRK. SPAA 2023: 391-401 - 2022
- [j7]Hussam Al Daas
, Grey Ballard
, Peter Benner
:
Parallel Algorithms for Tensor Train Arithmetic. SIAM J. Sci. Comput. 44(1): 25- (2022) - [j6]Hussam Al Daas
, Pierre Jolivet, Jennifer A. Scott
:
A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations. SIAM J. Sci. Comput. 44(3): 1047- (2022) - [j5]Hussam Al Daas
, Pierre Jolivet:
A Robust Algebraic Multilevel Domain Decomposition Preconditioner for Sparse Symmetric Positive Definite Matrices. SIAM J. Sci. Comput. 44(4): 2582- (2022) - [c2]Hussam Al Daas, Grey Ballard, Lawton Manning:
Parallel Tensor Train Rounding using Gram SVD. IPDPS 2022: 930-940 - [c1]Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse
:
Brief Announcement: Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. SPAA 2022: 445-448 - [i9]Hussam Al Daas, Pierre Jolivet, Tyrone Rees:
Efficient Algebraic Two-Level Schwarz Preconditioner For Sparse Matrices. CoRR abs/2201.02250 (2022) - [i8]Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse:
Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. CoRR abs/2205.13407 (2022) - [i7]Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse:
Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation. CoRR abs/2207.10437 (2022) - 2021
- [j4]Hussam Al Daas
, Laura Grigori, Pierre Jolivet, Pierre-Henri Tournier
:
A Multilevel Schwarz Preconditioner Based on a Hierarchy of Robust Coarse Spaces. SIAM J. Sci. Comput. 43(3): A1907-A1928 (2021) - [j3]Hussam Al Daas
, Tyrone Rees
, Jennifer A. Scott
:
Two-Level Nyström-Schur Preconditioner for Sparse Symmetric Positive Definite Matrices. SIAM J. Sci. Comput. 43(6): A3837-A3861 (2021) - [j2]Hussam Al Daas
, Laura Grigori, Pascal Hénon, Philippe Ricoux:
Recycling Krylov Subspaces and Truncating Deflation Subspaces for Solving Sequence of Linear Systems. ACM Trans. Math. Softw. 47(2): 13:1-13:30 (2021) - [i6]Hussam Al Daas, Tyrone Rees, Jennifer A. Scott:
Two-level Nyström-Schur preconditioner for sparse symmetric positive definite matrices. CoRR abs/2101.12164 (2021) - [i5]Hussam Al Daas, Pierre Jolivet, Jennifer A. Scott:
A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations. CoRR abs/2107.09006 (2021) - [i4]Hussam Al Daas, Pierre Jolivet:
A Robust Algebraic Multilevel Domain Decomposition Preconditioner For Sparse Symmetric Positive Definite Matrices. CoRR abs/2109.05908 (2021) - [i3]Hussam Al Daas, Grey Ballard, Paul Cazeaux, Eric Hallman, Agnieszka Miedlar
, Mirjeta Pasha, Tim W. Reid, Arvind K. Saibaba:
Randomized algorithms for rounding in the Tensor-Train format. CoRR abs/2110.04393 (2021) - 2020
- [i2]Pawan Goyal, Hussam Al Daas, Peter Benner:
Low-Rank and Total Variation Regularization and Its Application to Image Recovery. CoRR abs/2003.05698 (2020) - [i1]Hussam Al Daas, Grey Ballard
, Peter Benner:
Parallel Algorithms for Tensor Train Arithmetic. CoRR abs/2011.06532 (2020)
2010 – 2019
- 2019
- [j1]Hussam Al Daas
, Laura Grigori:
A Class of Efficient Locally Constructed Preconditioners Based on Coarse Spaces. SIAM J. Matrix Anal. Appl. 40(1): 66-91 (2019) - 2018
- [b1]Hussam Al Daas:
Solving linear systems arising from reservoirs modelling. (Résolution de systèmes linéaires issus de la modélisation des réservoirs). Sorbonne University, France, 2018
Coauthor Index
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