A Modeling Approach based on UML/MARTE for ...
Type de document :
Communication dans un congrès avec actes
Titre :
A Modeling Approach based on UML/MARTE for GPU Architecture
Auteur(s) :
de Oliveira Rodrigues, Antonio Wendell [Auteur]
Contributions of the Data parallelism to real time [DART]
Guyomarch, Frédéric [Auteur]
Contributions of the Data parallelism to real time [DART]
Dekeyser, Jean-Luc [Auteur]
Contributions of the Data parallelism to real time [DART]
Contributions of the Data parallelism to real time [DART]
Guyomarch, Frédéric [Auteur]
Contributions of the Data parallelism to real time [DART]
Dekeyser, Jean-Luc [Auteur]
Contributions of the Data parallelism to real time [DART]
Titre de la manifestation scientifique :
Symposium en Architectures nouvelles de machines (SympA'14)
Ville :
Saint Malo
Pays :
France
Date de début de la manifestation scientifique :
2011-05-10
Date de publication :
2011-05-13
Discipline(s) HAL :
Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
Résumé en anglais : [en]
Nowadays, the High Performance Computing is part of the context of embedded systems. Graphics Processing Units (GPUs) are more and more used in acceleration of the most part of algorithms and applications. Over the past ...
Lire la suite >Nowadays, the High Performance Computing is part of the context of embedded systems. Graphics Processing Units (GPUs) are more and more used in acceleration of the most part of algorithms and applications. Over the past years, not many efforts have been done to describe abstractions of applications in relation to their target architectures. Thus, when developers need to associate applications and GPUs, for example, they find difficulty and prefer using API for these architectures. This paper presents a metamodel extension for MARTE profile and a model for GPU architectures. The main goal is to specify the task and data allocation in the memory hierarchy of these architectures. The results show that this approach will help to generate code for GPUs based on model transformations using Model Driven Engineering (MDE).Lire moins >
Lire la suite >Nowadays, the High Performance Computing is part of the context of embedded systems. Graphics Processing Units (GPUs) are more and more used in acceleration of the most part of algorithms and applications. Over the past years, not many efforts have been done to describe abstractions of applications in relation to their target architectures. Thus, when developers need to associate applications and GPUs, for example, they find difficulty and prefer using API for these architectures. This paper presents a metamodel extension for MARTE profile and a model for GPU architectures. The main goal is to specify the task and data allocation in the memory hierarchy of these architectures. The results show that this approach will help to generate code for GPUs based on model transformations using Model Driven Engineering (MDE).Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Nationale
Vulgarisation :
Non
Collections :
Source :
Fichiers
- https://hal.inria.fr/inria-00593863/document
- Accès libre
- Accéder au document
- http://arxiv.org/pdf/1105.4424
- Accès libre
- Accéder au document
- https://hal.inria.fr/inria-00593863/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- sympa2011.pdf
- Accès libre
- Accéder au document
- 1105.4424
- Accès libre
- Accéder au document