ALPINES - 2018 - Annual activity report

ALPINES

ALPINES - 2018

Project-Team Alpines

Team, Visitors, External Collaborators

Overall Objectives

Introduction

Research Program

Overview
Domain specific language - parallel FreeFem++
Solvers for numerical linear algebra
Computational kernels for numerical linear algebra

Application Domains

Compositional multiphase Darcy flow in heterogeneous porous media
Inverse problems
Numerical methods for wave propagation in multi-scale media
Data analysis in astrophysics

Highlights of the Year

New Software and Platforms

FreeFem++
HPDDM
LORASC
Platforms

New Results

First kind Galerkin boundary element method for the Hodge-Laplacian in three dimensions
Boundary integral multi-trace formulations and Optimised Schwarz Methods
Poroelasticity
Hybrid discontinuous Galerkin discretisation and domain decomposition preconditioners for the Stokes problem
A class of efficient locally constructed preconditioners based on coarse spaces
Enlarged Krylov methods for reducing communication
Recycling Krylov subspaces and reducing deflation subspaces for solving a sequence of linear systems
Solving linear equations with messenger-field and conjugate gradient techniques: an application to CMB data analysis
Low rank approximation of a sparse matrix based on LU factorization with column and row tournament pivoting
ALORA: affine low-rank approximations
Linear-time CUR approximation of BEM matrices
Fractional decomposition of matrices and parallel computing

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Major publications
Publications of the year
References in notes

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Section: Highlights of the Year

Highlights of the Year

Laura Grigori was awarded with E. Cances, Y. Maday, and J.-P. Piquemal an ERC Syngergy Grant for the Extreme-scale Mathematically-based Computational Chemistry project (EMC2), 2018. A description of the project can be found here.

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