Team Runtime

Overall Objectives
Scientific Foundations
Application Domains
New Results
Contracts and Grants with Industry
Other Grants and Activities

Section: Other Grants and Activities

ANR projects

The National Agency for Research (ANR) launched in 2008 a program called COSINUS about design and numerical simulation for scientific research, industry and services. We wrote a research proposal called ProHMPT (Programming Heterogeneous Multicore Processor Technologues ) which has been selected by the national committee. It was granted a three-years funding starting in 2009.

As an answer to the CONTINT 2009 ANR call for projects about Content and Interaction, we participate to a research proposal called MEDIAGPU (Massive multimedia GPU-Based Processing ) which was granted a three-years funding starting starting in 2010. It aims at designing, modeling, and implementing new mathematical and algorithmic models to deal with large multimedia contents with a particular focus on executing them on GPUs. It involves 3D and video industrial specialists, Multimedia academic specialists, and HPC and hybrid industrial and academic specialists.

We participate to a research proposal to the ANR COSINUS program called COOP which was granted a three-year funding starting in 2010. It aims at establishing generic cooperation mechanisms between resource management, runtime systems, and application programming frameworks to simplify programming models, and improve performance through adaptation to the resources. It involves academic partners and EDF R&D.

Additionally, three projects were granted funding by the ANR program CIGC (Calcul Intensif et Grilles de Calcul , about the development of High Performance computing and Grids) from 2006 to 2009:


Proposing and to implementing a multiparadigm programming model (component, shared data, master-slave, workflow) comprising state of the art grid programming.


Designing new methods and mechanisms for an efficient scheduling of processes and a clever data distribution on NUMA platforms in the context of seismology applications.


Studying and developing new optimization methods for an optimal use of the different parallelism levels for both new generation of generic processors and more specialized systems (GPU, Cell processor, APE).


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