Christian Pérez

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This article presents an extension of the Fractal component model targeted at programming applications to be run on computing grids: the Grid Component Model (GCM). First, to address the problem of deployment of components on the Grid, deployment strategies have been de ned. Then, as Grid applications often result from the composition of a lot of parallel(More)
The fast growth of high bandwidth wide area networks has allowed the building of computational grids, which are constituted of PC clusters and/or parallel machines. Computational grids enable the design of new numerical simulation applications. For example, it is now feasible to couple several scientific codes to obtain a multi-physic application. In order(More)
Computational grids promise to deliver a huge computer power as transparently as the electric power grid supplies electricity. Thus, applications need to be automatically deployed on computational grids. However, various types of applications may be run on a grid, so it may not be wise to design an automatic deployment tool for each specific programming(More)
Executing workflows on large-scale heterogeneous distributed computing systems is a challenging task. Albeit there have been many well elaborated approaches, they are often motivated by a certain class of applications and focus on some implementation specific problems. The work presented in this paper aimed at establishing a highly abstract coordination(More)
With the availability of Computational Grids, new kinds of applications that will soon emerge will raise the problem of how to program them on such computing systems. In this paper, we advocate a programming model that is based on a combination of parallel and distributed programming models. Compared to previous approaches, this work aims at bringing SPMD(More)
TheerbB-2 receptor plays an important role in the prognosis of breast cancer and is expressed at high levels in nearly 30% of tumors in breast cancer patients. While evidence accumulates to support the relationship betweenerbB-2 overexpression and poor overall survival in human breast cancer, understanding of the biological consequence(s) oferbB-2(More)
SUMMARY With the availability of Computational Grids, new kinds of applications are emerging. They raise the problem of how to program them on such computing systems. In this paper, we advocate a programming model based on a combination of parallel and distributed programming models. Compared to previous approaches, this work aims at bringing SPMD(More)
The folding dynamics of riboswitches are central to their ability to modulate gene expression in response to environmental cues. In most cases, a structural competition between the formation of a ligand-binding aptamer and an expression platform (or some other competing off-state) determines the regulatory outcome. Here, we review single-molecule studies of(More)
This paper describes work in progress to develop a component-based software infrastructure, called Padico, for computational grids based on the CORBA Component Model from the OMG. The objective of Padico is to offer a component model targeting multi-physics simulations or any applications that require the coupling of several codes (simulation or(More)
Workflow execution on large-scale heterogeneous distributed computing systems, such as grids, requires a complex coordination. Activities of complex workflow patterns must be matched with entities of the computing system that possesses highly dynamic properties. We pinpoint the key concept of such workflow coordination as actions according to actual and(More)