With the advent of volumetric imaging (RMI, scanner, ...), obtaining accurate three-dimensional images of objects now becomes a reality. These images are currently used to derive appropriate numerical mechanical models that exploit data in close agreement to the experimental setting. This data-driven modelling approach opens the door for the numerical solution of true challenges in various application fields (computational mechanics, biomedicine to name a few).
The goal of this one-day workshop is to propose a state-of-the-art overview on massively parallel methods relevant for designing data-driven models and performing numerical simulations in computational mechanics. A specific focus will be given on iterative multilevel methods (i.e. multigrid and domain decomposition methods) and limited-memory preconditioners.
The workshop is proposed as a virtual event only. Registration is required to get access to the Zoom address of the workshop.
Current invited speakers are:
Selime Gürol, CERFACS, Toulouse, France
Julien Réthoré, Ecole Centrale de Nantes, France
Ali Rouwane, INSA Toulouse, France
Alexandre Scotto di Perrotolo, ISAE-SUPAERO, France
Francesc Verdugo, CIMNE, Castelldefels, Spain
Clemens Verhoosel, Eindhoven University of Technology, Eindhoven, Netherlands
Organizing committee: Robin Bouclier (INSA Toulouse), Youssef Diouane (ISAE-SUPAERO), Jean-Charles Passieux (INSA Toulouse), Michel Salaun (ISAE-SUPAERO), Xavier Vasseur (ISAE-SUPAERO).
Funding: This workshop has been funded by the Toulouse Tech Inter Labs (TTIL) CIV-PRESTO project.