Théo Mary - RankMe

32 papers A 1Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multiword matrix multiplication over large finite fields in floating-point arithmetic. CoRR Jérémy Berthomieu, Stef Graillat, Dimitri Lesnoff, Théo Mary
2025	J	`jnl`	Condense and Distill: Fast Distillation of Large Floating-Point Sums via Condensation. SIAM J. Sci. Comput. Stef Graillat, Théo Mary
2025	J	`jnl`	Error Analysis of Matrix Multiplication with Narrow Range Floating-Point Arithmetic. SIAM J. Sci. Comput. Théo Mary, Mantas Mikaitis
2025	J	`jnl`	Mixed Precision Iterative Refinement for Low-Rank Matrix and Tensor Approximations. SIAM J. Sci. Comput. Marc Baboulin, Oguz Kaya, Théo Mary, Matthieu Robeyns
2025	J	`jnl`	Truncated QR Factorization with Pivoting in Mixed Precision. SIAM J. Sci. Comput. Alfredo Buttari, Théo Mary, André Pacteau
2024	J	`jnl`	Adaptive Precision Sparse Matrix-Vector Product and Its Application to Krylov Solvers. SIAM J. Sci. Comput. Stef Graillat, Fabienne Jézéquel, Théo Mary, Roméo Molina
2024	J	`jnl`	Communication Avoiding Block Low-Rank Parallel Multifrontal Triangular Solve with Many Right-Hand Sides. SIAM J. Matrix Anal. Appl. Patrick Amestoy, Olivier Boiteau, Alfredo Buttari, Matthieu Gerest, Fabienne Jézéquel, Jean-Yves L'Excellent, Théo Mary
2024	J	`jnl`	Five-Precision GMRES-Based Iterative Refinement. SIAM J. Matrix Anal. Appl. Patrick Amestoy, Alfredo Buttari, Nicholas J. Higham, Jean-Yves L'Excellent, Théo Mary, Bastien Vieuble
2024	—	`conf`	Mixed Precision Randomized Low-Rank Approximation with GPU Tensor Cores. Euro-Par (3) Marc Baboulin, Simplice Donfack, Oguz Kaya, Théo Mary, Matthieu Robeyns
2024	—	`conf`	Reduced-Precision and Reduced-Exponent Formats for Accelerating Adaptive Precision Sparse Matrix-Vector Product. Euro-Par (3) Stef Graillat, Fabienne Jézéquel, Théo Mary, Roméo Molina, Daichi Mukunoki
2023	J	`jnl`	Combining Sparse Approximate Factorizations with Mixed-precision Iterative Refinement. ACM Trans. Math. Softw. Patrick Amestoy, Alfredo Buttari, Nicholas J. Higham, Jean-Yves L'Excellent, Théo Mary, Bastien Vieuble
2023	J	`jnl`	Matrix Multiplication in Multiword Arithmetic: Error Analysis and Application to GPU Tensor Cores. SIAM J. Sci. Comput. Massimiliano Fasi, Nicholas J. Higham, Florent Lopez, Théo Mary, Mantas Mikaitis
2023	J	`jnl`	Mixed precision LU factorization on GPU tensor cores: reducing data movement and memory footprint. Int. J. High Perform. Comput. Appl. Florent Lopez, Théo Mary
2023	J	`jnl`	Modular Matrix Multiplication on GPU for Polynomial System Solving. ACM Commun. Comput. Algebra Jérémy Berthomieu, Stef Graillat, Dimitri Lesnoff, Théo Mary
2022	J	`jnl`	Block low-rank single precision coarse grid solvers for extreme scale multigrid methods. Numer. Linear Algebra Appl. Alfredo Buttari, Markus Huber, Philippe Leleux, Théo Mary, Ulrich Rüde, Barbara I. Wohlmuth
2022	J	`jnl`	Mixed precision algorithms in numerical linear algebra. Acta Numer. Nicholas J. Higham, Théo Mary
2021	J	`jnl`	Block Low-Rank Matrices with Shared Bases: Potential and Limitations of the BLR SIAM J. Matrix Anal. Appl. Cleve Ashcraft, Alfredo Buttari, Théo Mary
2021	J	`jnl`	Stochastic Rounding and Its Probabilistic Backward Error Analysis. SIAM J. Sci. Comput. Michael P. Connolly, Nicholas J. Higham, Théo Mary
2020	J	`jnl`	A Class of Fast and Accurate Summation Algorithms. SIAM J. Sci. Comput. Pierre Blanchard, Nicholas J. Higham, Théo Mary
2020	J	`jnl`	Mixed Precision Block Fused Multiply-Add: Error Analysis and Application to GPU Tensor Cores. SIAM J. Sci. Comput. Pierre Blanchard, Nicholas J. Higham, Florent Lopez, Théo Mary, Srikara Pranesh
2020	J	`jnl`	Sharper Probabilistic Backward Error Analysis for Basic Linear Algebra Kernels with Random Data. SIAM J. Sci. Comput. Nicholas J. Higham, Théo Mary
2019	J	`jnl`	A New Approach to Probabilistic Rounding Error Analysis. SIAM J. Sci. Comput. Nicholas J. Higham, Théo Mary
2019	J	`jnl`	A New Preconditioner that Exploits Low-Rank Approximations to Factorization Error. SIAM J. Sci. Comput. Nicholas J. Higham, Théo Mary
2019	J	`jnl`	Bridging the Gap Between Flat and Hierarchical Low-Rank Matrix Formats: The Multilevel Block Low-Rank Format. SIAM J. Sci. Comput. Patrick R. Amestoy, Alfredo Buttari, Jean-Yves L'Excellent, Théo Mary
2019	J	`jnl`	Improving the Complexity of Block Low-Rank Factorizations with Fast Matrix Arithmetic. SIAM J. Matrix Anal. Appl. Claude-Pierre Jeannerod, Théo Mary, Clément Pernet, Daniel S. Roche
2019	J	`jnl`	Performance and Scalability of the Block Low-Rank Multifrontal Factorization on Multicore Architectures. ACM Trans. Math. Softw. Patrick R. Amestoy, Alfredo Buttari, Jean-Yves L'Excellent, Théo Mary
2019	J	`jnl`	Robust and Accurate Stopping Criteria for Adaptive Randomized Sampling in Matrix-Free Hierarchically Semiseparable Construction. SIAM J. Sci. Comput. Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li
2018	J	`jnl`	Matrix-free construction of HSS representation using adaptive randomized sampling. CoRR Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li
2017	—	`—`	Block Low-Rank multifrontal solvers: complexity, performance, and scalability. (Solveurs multifrontaux exploitant des blocs de rang faible: complexité, performance et parallélisme). Théo Mary
2017	J	`jnl`	On the Complexity of the Block Low-Rank Multifrontal Factorization. SIAM J. Sci. Comput. Patrick Amestoy, Alfredo Buttari, Jean-Yves L'Excellent, Théo Mary
2015	A	`conf`	Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs. SC Théo Mary, Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra
2014	—	`conf`	Access-averse framework for computing low-rank matrix approximations. IEEE BigData Ichitaro Yamazaki, Théo Mary, Jakub Kurzak, Stanimire Tomov, Jack J. Dongarra