Laura Grigori
EPFL SB MATH HPNALGS
MA B1 483 (Bâtiment MA)
Station 8
1015 Lausanne
Web site: Web site: https://sma.epfl.ch/
Fields of expertise
Numerical linear algebra, deterministic and randomized algorithms
High performance computing for scientific applications
High dimensional problems and tensor computations
Applications in astrophysics, molecular simulations, etc
Combinatorial scientific computing
Mathematical Software
High performance computing for scientific applications
High dimensional problems and tensor computations
Applications in astrophysics, molecular simulations, etc
Combinatorial scientific computing
Mathematical Software
Awards
For contributions to numerical linear algebra, including communication-avoiding algorithms.
2020
SIAM SIAG on Supercomputing Best Paper Prize
With J. Demmel, M. Hoemmen, and J. Langou for the paper Communication-Optimal Parallel and Sequential QR and LU Factorizations, SISC 2012
2016
Teaching & PhD
Teaching
Mathematics
Courses
Numerical analysis and computational mathematics
The course provides an introduction to scientific computing. Several numerical methods are presented for the computer solution of mathematical problems arising in different applications. The software MATLAB is used to solve the problems and verify the theoretical properties of the numerical methods.
HPC for numerical methods and data analysis
The objective of this course is to provide the necessary background for designing efficient parallel algorithms in scientific computing as well as in the analysis of large volumes of data. The operations considered are the most costly steps at the heart of many complex numerical simulations.