Section: Other Grants and Activities
CNRS initiatives, GDR-ARP and specific initiatives
We participate at numerous national initiatives. In the GDR-ASR (architecture, systems, and networks) we take part in TAROT , (Techniques algorithmiques, réseaux et d'optimisation pour les télécommunications ), Grappes(Architecture, systèmes, outils et applications pour réseaux de stations de travail hautes performances ), and RGE , (Réseau Grand Est ). We also participate to the animation of the GDR-ASR as a whole.
The fincances of RGE, lead by Stéphane Vialle at Supélec, are maintained by AlGorille.
ACI initiatives of the French Research Ministry
We are partners in several projects of different ACI initiatives:
Grid Explorer . We participate with a joint proposition together with Stéphane Vialle from Supélec, Metz Campus, which concerns the integration tests of SSCRAP and Parcel-6 as described in Section 6.3 . We also work on designing a set of emulation tools for transforming an homogeneous platform into an heterogeneous one, see Section 5.3 .
In the 2004 initiative ACI Agir we participate in the definition and design of a set of services for medical image processing on the grid. More precisely we are in charge of transfer with compression task and the evaluation of grid middleware.
ARA Initiatives of the French Research Ministry
We are partners in one project of the ARA Masse de données (thematic call to project from the French Research Ministry):
The new algorithmic challenges associated with large-scale platforms have been approached from two different directions. On the one hand, the parallel algorithms community has largely concentrated on the problems associated with heterogeneity and large amounts of data. Algorithms have been based on a centralized single-node, responsible for calculating the optimal solution; this approach induces significant computing times on the organizing node, and requires centralizing all the information about the platform. Therefore, these solutions clearly suffer from scalability and fault tolerance problems.
On the other hand, the distributed systems community has focused on scalability and fault-tolerance issues. The success of file sharing applications demonstrates the capacity of the resulting algorithms to manage huge volumes of data and users on large unstable platforms. Algorithms developed within this context are completely distributed and based on peer-to-peer communications. They are well adapted to very irregular applications, for which the communication pattern is unpredictable. But in the case of more regular applications, they lead to a significant waste of resources.
The goal of the ALPAGE project is to establish a link between these directions, by gathering researchers (ID, LIP, LORIA, LaBRI, LIX, LRI) from the distributed systems and parallel algorithms communities. More precisely, the objective is to develop efficient and robust algorithms for some elementary applications, such as broadcast and multicast, distribution of tasks that may or may not share files, resource discovery. These fundamental applications correspond well to the spectrum of the applications that can be considered on large scale, distributed platforms.
INRIA New Investigation Grant
The goal of the ARC OTaPHe is to federate conceptual and experimental researches around parallel task scheduling conducted by the AlGorille, Graal , Mescal and Moais INRIA teams. Our approach consists in defining models taking computational grid heterogeneity into account. These models however have to remain simple. From those models guaranteed heuristics will be designed and implemented into the DIET and OAR middlewares in order to validate them.