Introducing Control in the Gaspard2 Data-Parallel Metamodel: Synchronous Approach - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2005

Introducing Control in the Gaspard2 Data-Parallel Metamodel: Synchronous Approach


In this paper, we study the introduction of control into the Gaspard2 application UML metamodel by using the principles of synchronous reactive systems. This allows to take the change of running mode into account in the case of data parallel applications, and to study more general ways of mixing control and data parallel processing. Our study is applied to a particular context using two different models, exclusively dedicated to the process of computation or control. The computation part represents the Gaspard2 application metamodels based on the Array-OL language which is often used to specify the data dependencies and the potential parallelism in intensive applications treating multidimensional data. The control part is represented by an automaton structure based on the mode-automata concept which makes it possible to clearly identify the different modes of a task and the switching conditions between modes. The proposed UML metamodel makes it possible to describe the control automata, the different running modes and the link between control and computation parts. It also allows to clearly separate the control and data parts, and to respect the concurrency, the parallelism, the determinism and the compositionality of the Gaspard2 models.


Other [cs.OH]
Fichier principal
Vignette du fichier
Martes2C.pdf (874.2 Ko) Télécharger le fichier

Dates and versions

inria-00000911 , version 1 (08-12-2005)


  • HAL Id : inria-00000911 , version 1


Ouassila Labbani, Jean-Luc Dekeyser, Pierre Boulet, Eric Rutten. Introducing Control in the Gaspard2 Data-Parallel Metamodel: Synchronous Approach. International Workshop MARTES: Modeling and Analysis of Real-Time and Embedded Systems, Oct 2005, Montego Bay, Jamaica. ⟨inria-00000911⟩
188 View
127 Download


Gmail Facebook Twitter LinkedIn More