Hussam Al Daas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Randomized Algorithms

Matrix Multiplication

Top Venues

SIAM J. Sci. Comput.

SIAM J. Matrix Anal. Appl.

Publications

Hussam Al Daas, Pierre Jolivet, Frédéric Nataf, Pierre-Henri Tournier
A Robust Two-Level Schwarz Preconditioner For Sparse Matrices. CoRR (2024)
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) (2024)
Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse
Parallel Memory-Independent Communication Bounds for SYRK. SPAA (2023)
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) (2023)
Hussam Al Daas, Pierre Jolivet, Tyrone Rees
Efficient Algebraic Two-Level Schwarz Preconditioner for Sparse Matrices. SIAM J. Sci. Comput. 45 (3) (2023)
Hussam Al Daas, Grey Ballard, Lawton Manning
Parallel Tensor Train Rounding using Gram SVD. IPDPS (2022)
Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse
Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. CoRR (2022)
Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse
Brief Announcement: Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. SPAA (2022)
Hussam Al Daas, Grey Ballard, Laura Grigori, Suraj Kumar, Kathryn Rouse
Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation. CoRR (2022)
Hussam Al Daas, Grey Ballard, Peter Benner
Parallel Algorithms for Tensor Train Arithmetic. SIAM J. Sci. Comput. 44 (1) (2022)
Hussam Al Daas, Pierre Jolivet
A Robust Algebraic Multilevel Domain Decomposition Preconditioner for Sparse Symmetric Positive Definite Matrices. SIAM J. Sci. Comput. 44 (4) (2022)
Hussam Al Daas, Pierre Jolivet, Tyrone Rees
Efficient Algebraic Two-Level Schwarz Preconditioner For Sparse Matrices. CoRR (2022)
Hussam Al Daas, Pierre Jolivet, Jennifer A. Scott
A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations. SIAM J. Sci. Comput. 44 (3) (2022)
Hussam Al Daas, Pierre Jolivet
A Robust Algebraic Multilevel Domain Decomposition Preconditioner For Sparse Symmetric Positive Definite Matrices. CoRR (2021)
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) (2021)
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) (2021)
Hussam Al Daas, Pierre Jolivet, Jennifer A. Scott
A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations. CoRR (2021)
Hussam Al Daas, Tyrone Rees, Jennifer A. Scott
Two-level Nyström-Schur preconditioner for sparse symmetric positive definite matrices. CoRR (2021)
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 (2021)
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) (2021)
Hussam Al Daas, Grey Ballard, Peter Benner
Parallel Algorithms for Tensor Train Arithmetic. CoRR (2020)
Pawan Goyal, Hussam Al Daas, Peter Benner
Low-Rank and Total Variation Regularization and Its Application to Image Recovery. CoRR (2020)
Hussam Al Daas, Laura Grigori
A Class of Efficient Locally Constructed Preconditioners Based on Coarse Spaces. SIAM J. Matrix Anal. Appl. 40 (1) (2019)