The scientific challenges of the Inria Bordeaux – Sud-Ouest centre
The Centre's scientific development strategy aims to promote the emergence of ambitious new research subjects. These are addressed in partnership with local stakeholders at the forefront of these subjects in other disciplines in order to optimise the impact of the Centre's research activities.
Our projects are often carried out in collaboration with our local partners in the context of an extremely demanding and stimulating academic, social and economic environment.
Conducting research on specific subjects
The activities of Inria Bordeaux–Sud-Ouest Research Centre are naturally in line with France's national strategic plan. The Center thusbased its own scientific policyadapting national priorities to local strengths and regional opportunities. Inria Bordeaux research teams therefore focus on the following four areas:
- Modeling, High-Performance Computing and Parallel Architectures : Cagire, Cardamom, Hiepacs, Lfant, Magique-3D, Memphis, Storm, Tadaam
- Uncertainty management and optimization : Cqfd, Geostat, Realopt
- Modeling and simulation for health and biology : Carmen, Mnemosyne, Monc, Pleiade, Sistm
- Human and computing: interaction, adaptation and visualization : Auctus, Flowers, Manao, Phoenix, Potioc
Our research teams help to solve fundamental problems encountered in computer and mathematical modelling
, programming of complex and distributed systems
, and interactions
between both humans and artificial entities. In addition to scientific advances recognised at the highest international level, the research teams of Inria Bordeaux–Sud-Ouest help develop the innovations that will be central to our daily lives in the future
. Examples include robotic design and programming, robust programming of machines bringing together thousands of processor cores, the design of applications and software for oil engineering, visualisation and manipulation of complex objects in 3D or 4D, predicting
the spread of diseases and contributing to advances in bioinformatics.
Building new scientific orientations
In practice, whilst the vast majority of activities undertaken by the teams is based on well-established knowledge and expertise, the Centre also provides extensive support to seek funding for more prospective, and therefore more risky, activities . In a quest for excellence, we implement this strategy for each of our three core scientific priorities: research, experimentation and technology transfer .
Since computational sciences and technologies play a central role in numerous applicative scientific fields it is essential to conduct our research in an interdisciplinary manner and at the highest international level. Some of our priorities:
High Performance Computing for new architectures
The primary objective over the upcoming years will be to make use of the aggregation of significant numbers of nodes (possibly accelerated by graphic processors or co-processors). In order to meet this challenge, the programming of all software components in the simulation chain must be reconsidered (not only solvers). New high-order compact patterns will have to be developed in order to make use of such a degree of parallel processing. In particular, existing patterns will be expanded to turbulent non-stationary fluid mechanics, large deformation solid mechanics, electromagnetism and electroseismology.
Management of uncertainty and optimisation
The scientific objectives for this subject are the development of advanced mathematical tools for probabilistic modelling, reliability analysis and the optimisation of complex systems, andcomplex signal analysis. The targeted applications range from multi-scale analysis in sciences of the universe to task sorting via object monitoring, evaluation of parameters linked to climate change, the analysis of word signals and financial mathematics.
Modelling and simulation for healthcare and biology
New projects have been developed, notably for bio-medical applications in various fields (cardiac, cerebral, oncology), in partnership with medical institutions in Aquitaine. Other projects focus on biotechnological and systems biology applications. The physiological and biological phenomena behind these applications are often very complex. Our project teams are primarily responsible for creating or improving models of these complex phenomena.
Interactive systems and user-centric approaches
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