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A Modeling Approach based on UML/MARTE for GPU Architecture

Antonio Wendell de Oliveira Rodrigues 1 Frédéric Guyomarc'H 1 Jean-Luc Dekeyser 1 
1 DART - Contributions of the Data parallelism to real time
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : 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).
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Submitted on : Thursday, May 19, 2011 - 3:23:24 PM
Last modification on : Friday, February 4, 2022 - 3:11:08 AM
Long-term archiving on: : Saturday, August 20, 2011 - 2:20:37 AM


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  • HAL Id : inria-00593863, version 1
  • ARXIV : 1105.4424


Antonio Wendell de Oliveira Rodrigues, Frédéric Guyomarc'H, Jean-Luc Dekeyser. A Modeling Approach based on UML/MARTE for GPU Architecture. Symposium en Architectures nouvelles de machines (SympA'14), May 2011, Saint Malo, France. ⟨inria-00593863⟩



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