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Enabling Traceability in an MDE Approach to Improve Performance of GPU Applications

Antonio Wendell de Oliveira Rodrigues 1 Vincent Aranega 1 Anne Etien 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 : Graphics Processor Units (GPUs) are known for offering high per- formance and power efficiency for processing algorithms that suit well to their massively parallel architecture. Unfortunately, as parallel programming for this kind of architecture requires a complex distribution of tasks and data, developers find it difficult to implement their applications effectively. Although approaches based on source-to-source and model-to-source transformations have intended to provide a low learning curve for parallel programming and take advantage of architecture features to create optimized applications, the programming re- mains difficult for neophytes. A Model Driven Engineering (MDE) approach for GPU intends to hide the low-level details of GPU programming by automati- cally generating the application from the high-level specifications. However, the application designer should take into account some adjustments in the source code to achieve better performance at runtime. Directly modifying the gen- erated source code goes against the MDE philosophy. Moreover, the designer does not necessarily have the required knowledge to effectively modify the GPU generated code. This work aims at improving performance by returning to the high-level models, specific execution data from a profiling tool enhanced by smart advices from an analysis engine. In order to keep the link between exe- cution and model, the process is based on a traceability mechanism. Once the model is automatically annotated, it can be re-factored by aiming performance on the re-generated code. Hence, this work allows us keeping coherence between model and code without forgetting to harness the power of GPUs. To illustrate and clarify key points of this approach, an experimental example taking place in a transformation chain from UML-MARTE models to OpenCL code is provided.
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Submitted on : Tuesday, August 30, 2011 - 11:09:41 PM
Last modification on : Monday, January 25, 2021 - 5:24:02 PM
Long-term archiving on: : Sunday, December 4, 2016 - 8:45:27 AM


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  • HAL Id : inria-00617912, version 1


Antonio Wendell de Oliveira Rodrigues, Vincent Aranega, Anne Etien, Frédéric Guyomarc'H, Jean-Luc Dekeyser. Enabling Traceability in an MDE Approach to Improve Performance of GPU Applications. [Research Report] RR-7720, INRIA. 2011. ⟨inria-00617912⟩



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