Since 2016, the Sophia Antipolis center has implemented the Mutual Action for Technological Development (or AMDT).
The AMDT is a major Technological Development Action whose purpose is to develop high-level softwares for Inria research teams while sharing code and good practices. The developments are led by a team of developers of 7 to 8 engineers with complementary profiles. Agile methods allow them to develop functional deliverables in a short time (one-month cycle) in an iterative way. The focus is on the pooling of production and know-how, but also on the ability to produce demonstrative softwares and closer to the transfer to industry and scientific communities.
The AMDT team is involved in the development of several software and scientific platforms.
SW2D (Shallow Water 2D) is a platform written in C ++ supported by the LEMON team and dedicated to modeling shallow water flows with additional features such as porosity modeling (upscaling), passive transport, multilayer models.
From a technological point of view, this platform makes use of a number of libraries including
The following video illustrates the work done by the AMDT team and the Montpellier LEMON team after two 15-day sprints.
More info on SW2D platform page.
|Lac Taihu with standard SW équations|
Gnomon is a platform supported by the team Mosaic of the Inria center of Grenoble and dedicated to the simulation and analysis of biological systems in development (morphogenesis).
Gnomon is based on a platform / plugin architecture. The core of the platform written in C ++ is based on
dtk / Qt and the plugins are written in either C++ or directly in python. The C++/python wrapping is based on
SIP, the visualization part is based on
dtk/VTK and the plotting tools come from
Macular is a platform supported by the Biovision team and dedicated to large-scale simulations of the retina under normal and pathological conditions.
This C ++ platform is based on
GSL for ODE solvers.
The purpose of the Bolis2 ADT is to develop the Fs3d (or FindSources3D) software dedicated to source localization by solving inverse electroencephalography (EEG) problems. From spot measurements of electrical potential, obtained numerically or taken by electrodes on the scalp, Fs3d estimates point dipole current sources in the brain. This project involves the teams FACTAS, ATHENA of Inria Sophia Antipolis Méditerranée as well as the Center of Applied Mathematics (CMA) of the Ecole des Mines de Paris.
From a technical point of view, Fs3d is based on a
Matlab computing core wrapped within a C ++ framework using
Odin is a platform for advanced monitoring of bioreactors by non-linear control algorithms with applications for methanation and microalgae production. It is developed for the team Biocore.
nodejs. The control algorithms are written in python.
This project led by the team Athena aims to introduce BCI (Brain Computer Interface) type interactions into existing applications (such as a typical Web Browser).
The architecture is of client / server type written in C ++ and using
OpenVibe and EEG acquisition drivers.
This project aims to equip the Igloo software suite with a GUI allowing its interactive use and the interoperability of its tools. Igloo is developed by the Acumes team and integrates standards in geometry (NURBS) and simulation (FE, DG) under a single paradigm. The goal is to provide more efficient interactions between geometry and analysis and to converge towards a new paradigm for industrial design.
The GUI is written using
Qt and the visualization is based on
The Web Portal MGDA provides tools for differentially and / or multi-point (unstationary) multi-discplinary optimization.
nodejs. The underlying library is written in Fortran with a C ++ wrapper. Users can upload their data and retrieve the results after running the code.
This project is conducted with the team Stars and aims to develop a platform dedicated to the monitoring of patients with behavioral disorders.
The platform integrates modules for acquisition, detection of people and events. It relies on a platform / plugin architecture from
dtk and makes use of
OpenCV and Machine Learning algorithms.
This project aims at equipping the SDM solver of the Tosca team with a pre and post treatment tool for large scale forcing and topography information.
SDM-Modeler is written in C ++ and uses