| Stochastic rounding: implementation, error analysis and applications M Croci, M Fasi, NJ Higham, T Mary, M Mikaitis Royal Society Open Science 9 (3), 211631, 2022 | 69 | 2022 |
| Numerical behavior of NVIDIA tensor cores M Fasi, NJ Higham, M Mikaitis, S Pranesh PeerJ Computer Science 7, e330, 2021 | 42 | 2021 |
| An arbitrary precision scaling and squaring algorithm for the matrix exponential M Fasi, NJ Higham SIAM Journal on Matrix Analysis and Applications 40 (4), 1233-1256, 2019 | 35 | 2019 |
| Multiprecision algorithms for computing the matrix logarithm M Fasi, NJ Higham SIAM Journal on Matrix Analysis and Applications 39 (1), 472-491, 2018 | 33 | 2018 |
| An Algorithm for the Matrix Lambert Function M Fasi, NJ Higham, B Iannazzo SIAM Journal on Matrix Analysis and Applications 36 (2), 669-685, 2015 | 22 | 2015 |
| Algorithms for stochastically rounded elementary arithmetic operations in IEEE 754 floating-point arithmetic M Fasi, M Mikaitis IEEE Transactions on Emerging Topics in Computing 9 (3), 1451-1466, 2021 | 21 | 2021 |
| Computing the weighted geometric mean of two large-scale matrices and its inverse times a vector M Fasi, B Iannazzo SIAM Journal on Matrix Analysis and Applications 39 (1), 178-203, 2018 | 21 | 2018 |
| Matrix multiplication in multiword arithmetic: error analysis and application to GPU tensor cores M Fasi, NJ Higham, F Lopez, T Mary, M Mikaitis SIAM Journal on Scientific Computing 45 (1), C1-C19, 2023 | 18* | 2023 |
| CPFloat: A C library for simulating low-precision arithmetic M Fasi, M Mikaitis ACM Transactions on Mathematical Software 49 (2), 1-32, 2023 | 17* | 2023 |
| A backward/forward recovery approach for the preconditioned conjugate gradient method M Fasi, J Langou, Y Robert, B Ucar Journal of computational science 17, 522-534, 2016 | 17 | 2016 |
| Optimality of the Paterson–Stockmeyer method for evaluating matrix polynomials and rational matrix functions M Fasi Linear Algebra and its Applications 574, 182-200, 2019 | 15 | 2019 |
| Determinants of normalized Bohemian upper Hessenberg matrices M Fasi, GMN Porzio The Electronic Journal of Linear Algebra 36, 352-366, 2020 | 11 | 2020 |
| Combining algorithm-based fault tolerance and checkpointing for iterative solvers M Fasi, Y Robert, B Uçar INRIA Grenoble-Rhône-Alpes; INRIA, 2015 | 11 | 2015 |
| Combining backward and forward recovery to cope with silent errors in iterative solvers M Fasi, Y Robert, B Uçar 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015 | 9 | 2015 |
| Sampling the eigenvalues of random orthogonal and unitary matrices M Fasi, L Robol Linear Algebra and its Applications 620, 297-321, 2021 | 8 | 2021 |
| Matrices with tunable infinity-norm condition number and no need for pivoting in LU factorization M Fasi, NJ Higham SIAM Journal on Matrix Analysis and Applications 42 (1), 417-435, 2021 | 8 | 2021 |
| Using Hadoop File System and MapReduce in a small/medium Grid site H Riahi, G Donvito, L Fanó, M Fasi, G Marzulli, D Spiga, A Valentini Journal of Physics: Conference Series 396 (4), 042050, 2012 | 8 | 2012 |
| The dual inverse scaling and squaring algorithm for the matrix logarithm M Fasi, B Iannazzo IMA Journal of Numerical Analysis 42 (3), 2829-2851, 2022 | 7 | 2022 |
| Generating Extreme-Scale Matrices With Specified Singular Values or Condition Number M Fasi, NJ Higham SIAM Journal on Scientific Computing 43 (1), A663-A684, 2021 | 7 | 2021 |
| Coping with silent errors in HPC applications G Aupy, A Benoit, A Cavelan, M Fasi, Y Robert, H Sun, B Uçar Emergent Computation: A Festschrift for Selim G. Akl, 269-292, 2017 | 7 | 2017 |
Nicholas J. HighamRoyal Society Research Prof, Richardson Prof of Applied Mathematics, University of ManchesterVerified email at manchester.ac.uk
