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Linear Algebra

Numerical linear algebra lies at the core of virtually all scientific computing. It provides the mathematical basis for operating on all geometric and image data, it is the foundation for the numerical solution of ordinary and partial differential equations, and it has become the central toolbox for the current hype-theme in computing: big data analytics.

The deep relationship between numerical linear algebra and differential as well as integral equations remains important to engineering and science. Unless explicit methods are being used, the discretization of PDEs leads to systems of linear or nonlinear equations. The nonlinear case requires the repeated solution of linear equations. For most equations and discretization methods, the linear matrix systems are sparse. CERFACS has thirty years of expertise in solving such systems and is internationally acknowledged as one of the leading research centres in this field. During the last decade, work has centred on developing direct methods with a high degree of parallelism. More recently, the focus at Cerfacs lies on highly-parallel iterative solvers and on using these in hybrid methods to extend the capability of direct methods. Furthermore, the Algo team concentrates on multigrid and multilevel methods which are among the primary candidates to achieve the scalability and performance needed for future extreme scale computing. To show the applicability to real-world engineering problems we have been testing a range of all these solution methods for large scale problems in collaboration with our academic and industrial partners.


Some examples of our recent research work:

Sparse direct methods, hybrid direct-iterative and iterative methods

We focus on core problems in numerical linear algebra that are relevant for both CERFACS, its shareholders and are of academic interest. For example, we worked on solution methods for linear systems arising in the structural analysis of a reactor containment building with our industrial partner EDF. The developed iterative solver showed excellent convergence in only a few iterations for this problem [2]. It has been made available to EDF's finite-element code code_aster through the implementation in the open source linear algebra library PETSc. An example of our academic research work is the recently finished PhD thesis of Philippe Leleux on Hybrid direct and iterative solvers for sparse indefinite and overdetermined systems on future exascale architectures, in which attention is given to iterative and hybrid methods.



Multilevel and multigrid methods

Multigrid methods belong to the few solvers that have scalable numerical complexity and are thus among the primary candidates to exploit future extreme scale computing to its full potential. A current research topic is to develop such hierarchical algorithms and the software techniques to implement them on massively parallel and heterogeneous computer systems. The algo team takes part in the H2020 Energy oriented Centre of Excellence EoCoE 2. Here, a tailored multigrid solver for the gyrokinetic Poisson equation on disk-like geometries described by curvilinear coordinates has been developed [1]. This algorithm has the potential for highly parallel scalability and, since it is a matrix free algorithm, it has a low memory footprint.


[1] Kuehn, M., Kruse, C., Ruede, U., Energy-minimizing, symmetric finite differences for anisotropic meshes and energy functional extrapolation, 2020, https://hal.archives-ouvertes.fr/hal-02941899/document

[2] Kruse, C., Darrigrand, V., Tardieu, N. et al. Application of an iterative Golub-Kahan algorithm to structural mechanics problems with multi-point constraints. Adv. Model. and Simul. in Eng. Sci. 7, 45 (2020). https://doi.org/10.1186/s40323-020-00181-2



A bronze medal to Cerfacs for “Allons-Y À Vélo” !

CERFACS |  26 July 2021

A bronze medal to Cerfacs for "Allons-Y À Vélo" ! Cerfacs is on the podium for its cycling regularity during the "Allons-Y À Vélo" period (May 25 - June 25) in its category (100-500 employees).During this period, 37% of Cerfacs employees came to work by bike during at least 4 consecutive days. "Allons-Y À Vélo" is a campaign organised by the association "2 Pieds 2 Roues" and "La Maison du Vélo de Toulouse" to promote the use of the bicycle for every day travels; all details can be found on allonsyavelo.le-pic.org . Cerfacs encourages its employees to use their bicycle to come to work as they benefit from the bicycle mileage allowance (FMD for Forfait Mobilité Durable) of up to 500 Euros per year.Read more

The H2OPE project wins the prize Joseph Fourier 2021

CERFACS |  26 July 2021

The H2OPE project wins the prize Joseph Fourier 2021 The prize, launched by Atos and GENCI, aims to reward the work of researchers, academics and industry in two strategic areas: Advanced Computing (HPC, Quantum, Edge) and Artificial Intelligence, and, in the 2021 edition , gives particular importance to Decarbonation. The 1st Prize was awarded to the H2OPE or “H2OPErability for safe and clean gas turbine engines” project from CERFACS in Toulouse. This project aims, via the LES AVBP code, to model at high resolution a mixed combustion process associating conventional fuels with hydrogen (bi-fuels) as one of the most promising technical solutions to achieve "net zero emissions" of CO2 in the industrial sector. It was presented by Walter Agostinelli, Davide Laera, Laurent Gicquel, and Thierry Poinsot. Press release :Read more