Team GRAAL

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Section: Other Grants and Activities

International Contracts and Projects

French-Israeli project “Multicomputing” (2009-2010)

This project aims at improving the scalability of state-of-the-art computational fluid dynamics calculations by the use of state-of-the-art numerical linear algebra approaches. It mainly involves Tel Aviv University and ENSEEIHT-IRIT (Toulouse), where Alfredo Buttari is coordinator for the French side. In Graal , I. Chowdhury, J.-Y. L'Excellent, and B. Uçar participate to this project.

Associated-team MetagenoGrid (2008-2010)

The collaboration is done with the Concurrency Research Group (CoRG) of Henri Casanova, and the Bioinformatics Laboratory (BiL) of Guylaine Poisson of the Information and Computer Sciences Department, of the University of Hawai`i at Manoā, USA.

The associated-team targets the efficient scheduling of large-scale scientific applications on clusters and Grids. To provide context for this research, we focus on applications from the domain of bioinformatics, in particular comparative genomics and metagenomics applications, which are of interest to a large user community today. So far, applications (in bioinformatics or other fields) that have been successfully deployed at a large scale fall under the “independent task model”: they consist of a large number of tasks that do not share data and that can be executed in any order. Furthermore, many of these application deployments rely on the fact that the application data for each task is “small”, meaning that the cost of sending data over the network can be ignored in the face of long computation time. However, both previous assumptions are not valid for all applications, and in fact many crucial applications, such as the aforementioned bioinformatics applications, require computationally dependent tasks sharing very large data sets.

In our previous collaborations, we have tackled the issue of non-negligible network communication overheads and have made significant contributions. For instance, we have designed strategies that rely on the notions of steady-state scheduling (i.e., attempting to maximize the number of tasks that complete per time unit, in the long run) and/or divisible load scheduling (i.e., approximate the discrete workload that consists of individual tasks as a continuous workload). These strategies provide powerful means for rethinking the deployment and the scheduling of independent task applications when network communication can be a bottleneck. However, the target applications in this project cannot benefit from these strategies directly and will require fundamental advances. This project aims to build upon and go beyond our past collaborations, with two main research thrusts:

A. Benoit, E. Caron, F. Desprez, Y. Robert and F. Vivien participate to this project.

French-Japanese ANR-JST FP3C project

This project federates INRIA Saclay, CNRS IRIT, CEA Saclay, INRIA Bordeaux, CNRS Prism, INRIA Rennes on the French side and the University of Tokyo, The University of Tsukuba, Titech, Kyoto University on the Japanese side. The main goal of the project is to develop a programming chain and associated runtime systems which will allow scientific end-users to efficiently execute their applications on post-petascale, highly hierarchical computing platforms making use of multi-core processors and accelerators.

Y. Caniou and J.-Y. L'Excellent participate to this project.

CNRS délégation of Yves Caniou (2010-2011)

Yves Caniou obtained a CNRS delegation for the scholar year 2009-2010, and this delegation has been prolongated for the scholar year 2010-2011. He is working at the CNRS Japan-French Laboratory in Informatics (JFLI) supervised by Philippe Codognet. The JFLI is located in Tokyo, Japan, and is composed of the Tokyo University, Université Pierre et Marie-Curie (UPMC), the Keio University, the CNRS, the NII partnership.


previous
next

Logo Inria