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SAGE Research team
Simulations and Algorithms on Grids for Environment
- Leader : Jocelyne Erhel
- Type : Project team
- Research center(s) : Rennes
- Field : Computational Sciences for Biology, Medicine and the Environment
- Theme : Observation and Modeling for Environmental Sciences
- Université Rennes 1, CNRS, Institut de recherche en informatique et systèmes aléatoires (IRISA) (UMR6074)
Team presentation
Scientific computing is becoming increasingly ambitious, and thus more and more demanding in terms of computing power, data flow and memory capacity. The basic idea of grid computing is to link geographically distant equipment together, especially via the Internet, to constitute a network such that computer resources are simultaneously globalized and dematerialized.
The SAGE project-team undertakes research on high-performance computing and deals mainly with three subjects :
- numerical algorithms, mostly large sparse linear algebra
- parallel and grid computing
- environmental applications, mostly in hydrogeology and geophysics.
Research themes
- Larse sparse linear algebra
- direct and iterative linear solvers
- least-squares problems
- eigenproblems
- Parallel and Grid Computing
- coupled models
- software components
- Hydrogeology
- fracture networks
- heterogeneous transient flow
- saltwater intrusion
- reactive transport
Keywords: Numerical algorithms Grid computing Hydrogeology
Research teams of the same theme :
- ANGE - Numerical Analysis, Geophysics and Ecology
- CLIME - Coupling environmental data and simulation models for software integration
- FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
- MAGIQUE-3D - Advanced 3D Numerical Modeling in Geophysics
- MOISE - Modelling, Observations, Identification for Environmental Sciences
- POMDAPI - Environmental Modeling, Optimization and Programming Models
- STEEP - Sustainability transition, environment, economy and local policy
Contact
Team leader
Jocelyne Erhel
(See all teams)
Tel.: +33 2 99 84 73 39
Secretariat
Tel.: +33 2 99 84 73 02
Find out more
Genealogy
This team follows
Inria
Inria.fr
Inria Channel

See also