21–23 Mar 2023
LaBRI
Europe/Paris timezone

ExODE : Scaling the solving of Ordinary Differential Equation for Computational Biology

21 Mar 2023, 15:30
10m
LaBRI Amphi (LaBRI)

LaBRI Amphi

LaBRI

Short talk Numerical methods and algorithms Short Talks on Numerical Methods

Speaker

Jonathan Rouzaud-Cornabas (Inria / LIRIS)

Description

In biology, the vast majority of systems can be modeled as ordinary differential equations (ODEs). Modeling more finely biological objects leads to increase the number of equations. Simulating ever larger systems also leads to increasing the number of equations. Therefore, we observe a large increase in the size of the ODE systems to be solved. A major lock is the limitation of ODE numerical resolution software (ODE solver) to a few thousand equations due to prohibitive calculation time. The AEx ExODE tackles this lock via 1) the introduction of new numerical methods that will take advantage of the mixed precision that mixes several floating number precisions within numerical methods, 2) the adaptation of these new methods for next generation highly hierarchical and heterogeneous computers composed of a large number of CPUs and GPUs. For the past year, a new approach to Deep Learning has been proposed to replace the Recurrent Neural Network (RNN) with ODE systems. The numerical and parallel methods of ExODE will be evaluated and adapted in this framework in order to improve the performance and accuracy of these new approaches.

After presenting the Inria Exploratory Action ExODE, we will present our early results and collaboration opportunities.

Primary authors

Mr Arsène Marzorati (Inria / ICJ) Jonathan Rouzaud-Cornabas (Inria / LIRIS) Dr Samuel Bernard (Inria / ICJ) Dr Thierry Gauthier (Inria / LIP)

Presentation materials

There are no materials yet.