Skip to Main content Skip to Navigation
Conference papers

Toward a Computational Steering Environment based on CORBA

Olivier Coulaud 1, 2 Michaël Dussere 2 Aurélien Esnard 1, 2, *
* Corresponding author
2 SCALAPPLIX - Algorithms and high performance computing for grand challenge applications
INRIA Futurs, Université Bordeaux Segalen - Bordeaux 2, Université Sciences et Technologies - Bordeaux 1, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : This paper presents the first step toward a computational steering environment based on CORBA. This environment, called EPSN, allows the control, the data exploration and the data modification for numerical simulations involving an iterative process. In order to be as generic as possible, we introduce an abstract model of steerable simulations. This abstraction allows us to build steering clients independently of a given simulation. This model is described with an XML syntax and is used in the simulation by some source code annotations. EPSN takes advantage of the CORBA technology to design a communication infrastructure with portability, interoperability and network transparency. In addition, the in-progress parallel CORBA objects will give us a very attractive framework for extending the steering to parallel and distributed simulations.
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/inria-00357468
Contributor : Aurélien Esnard <>
Submitted on : Friday, January 30, 2009 - 4:00:22 PM
Last modification on : Thursday, January 11, 2018 - 6:20:16 AM
Document(s) archivé(s) le : Tuesday, June 8, 2010 - 9:42:25 PM

File

parco-03a.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00357468, version 1

Collections

Citation

Olivier Coulaud, Michaël Dussere, Aurélien Esnard. Toward a Computational Steering Environment based on CORBA. Parallel Computing: Environments And Tools for Parallel Scientific Computing, 2004, Dresden, Germany. pp.151--158. ⟨inria-00357468⟩

Share

Metrics

Record views

292

Files downloads

272