Théo Mary

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 23

Top Venues

SIAM J. Sci. Comput.

SIAM J. Matrix Anal. Appl.

ACM Trans. Math. Softw.

CoRR

Paul Sabatier University, Toulouse, France (PHD)

Education History

Paul Sabatier University, Toulouse, France

PHD

Publications

Patrick Amestoy, Alfredo Buttari, Nicholas J. Higham, Jean-Yves L'Excellent, Théo Mary, Bastien Vieuble
Five-Precision GMRES-Based Iterative Refinement. SIAM J. Matrix Anal. Appl. 45 (1) (2024)
Stef Graillat, Fabienne Jézéquel, Théo Mary, Roméo Molina
Adaptive Precision Sparse Matrix-Vector Product and Its Application to Krylov Solvers. SIAM J. Sci. Comput. 46 (1) (2024)
Patrick Amestoy, Olivier Boiteau, Alfredo Buttari, Matthieu Gerest, Fabienne Jézéquel, Jean-Yves L'Excellent, Théo Mary
Communication Avoiding Block Low-Rank Parallel Multifrontal Triangular Solve with Many Right-Hand Sides. SIAM J. Matrix Anal. Appl. 45 (1) (2024)
Massimiliano Fasi, Nicholas J. Higham, Florent Lopez, Théo Mary, Mantas Mikaitis
Matrix Multiplication in Multiword Arithmetic: Error Analysis and Application to GPU Tensor Cores. SIAM J. Sci. Comput. 45 (1) (2023)
Patrick Amestoy, Alfredo Buttari, Nicholas J. Higham, Jean-Yves L'Excellent, Théo Mary, Bastien Vieuble
Combining Sparse Approximate Factorizations with Mixed-precision Iterative Refinement. ACM Trans. Math. Softw. 49 (1) (2023)
Florent Lopez, Théo Mary
Mixed precision LU factorization on GPU tensor cores: reducing data movement and memory footprint. Int. J. High Perform. Comput. Appl. 37 (2) (2023)
Jérémy Berthomieu, Stef Graillat, Dimitri Lesnoff, Théo Mary
Modular Matrix Multiplication on GPU for Polynomial System Solving. ACM Commun. Comput. Algebra 57 (2) (2023)
Nicholas J. Higham, Théo Mary
Mixed precision algorithms in numerical linear algebra. Acta Numer. 31 (2022)
Alfredo Buttari, Markus Huber, Philippe Leleux, Théo Mary, Ulrich Rüde, Barbara I. Wohlmuth
Block low-rank single precision coarse grid solvers for extreme scale multigrid methods. Numer. Linear Algebra Appl. 29 (1) (2022)
Michael P. Connolly, Nicholas J. Higham, Théo Mary
Stochastic Rounding and Its Probabilistic Backward Error Analysis. SIAM J. Sci. Comput. 43 (1) (2021)
Cleve Ashcraft, Alfredo Buttari, Théo Mary
Format. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
Pierre Blanchard, Nicholas J. Higham, Théo Mary
A Class of Fast and Accurate Summation Algorithms. SIAM J. Sci. Comput. 42 (3) (2020)
Nicholas J. Higham, Théo Mary
Sharper Probabilistic Backward Error Analysis for Basic Linear Algebra Kernels with Random Data. SIAM J. Sci. Comput. 42 (5) (2020)
Pierre Blanchard, Nicholas J. Higham, Florent Lopez, Théo Mary, Srikara Pranesh
Mixed Precision Block Fused Multiply-Add: Error Analysis and Application to GPU Tensor Cores. SIAM J. Sci. Comput. 42 (3) (2020)
Nicholas J. Higham, Théo Mary
A New Preconditioner that Exploits Low-Rank Approximations to Factorization Error. SIAM J. Sci. Comput. 41 (1) (2019)
Patrick R. Amestoy, Alfredo Buttari, Jean-Yves L'Excellent, Théo Mary
Performance and Scalability of the Block Low-Rank Multifrontal Factorization on Multicore Architectures. ACM Trans. Math. Softw. 45 (1) (2019)
Nicholas J. Higham, Théo Mary
A New Approach to Probabilistic Rounding Error Analysis. SIAM J. Sci. Comput. 41 (5) (2019)
Patrick R. Amestoy, Alfredo Buttari, Jean-Yves L'Excellent, Théo Mary
Bridging the Gap Between Flat and Hierarchical Low-Rank Matrix Formats: The Multilevel Block Low-Rank Format. SIAM J. Sci. Comput. 41 (3) (2019)
Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li
Robust and Accurate Stopping Criteria for Adaptive Randomized Sampling in Matrix-Free Hierarchically Semiseparable Construction. SIAM J. Sci. Comput. 41 (5) (2019)
Claude-Pierre Jeannerod, Théo Mary, Clément Pernet, Daniel S. Roche
Improving the Complexity of Block Low-Rank Factorizations with Fast Matrix Arithmetic. SIAM J. Matrix Anal. Appl. 40 (4) (2019)
Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li
Matrix-free construction of HSS representation using adaptive randomized sampling. CoRR (2018)
Patrick Amestoy, Alfredo Buttari, Jean-Yves L'Excellent, Théo Mary
On the Complexity of the Block Low-Rank Multifrontal Factorization. SIAM J. Sci. Comput. 39 (4) (2017)
Théo Mary, Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra
Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs. SC (2015)
Ichitaro Yamazaki, Théo Mary, Jakub Kurzak, Stanimire Tomov, Jack J. Dongarra
Access-averse framework for computing low-rank matrix approximations. IEEE BigData (2014)

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Publication Activity (10 Years)

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Théo Mary