Introduction of an OpenCL-Based Model Transformation Engine

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Abstract

As model-driven engineering (MDE) became a popular software development methodology, several tools are built to support working with MDE. Nowadays, the importance of performance is getting higher as the size of the systems grow. New solutions are needed that can take advantage of modern hardware components and architectures. One step towards this goal is to use the unique processing power of GPUs in model-driven environments. Our overall goal is to create a graph transformation framework that fits into the parallel execution environment provided by GPUs. Our approach is based on the OpenCL framework and it is referred to as PaMMTE (Parallel Multiplatform Model-transformation Engine). This paper presents an overview of our tool and the description of the implementation. We believe that this new approach will be an attractive way to accelerate MDE tools efficiently.

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Fekete, T., & Mezei, G. (2018). Introduction of an OpenCL-Based Model Transformation Engine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10748 LNCS, pp. 14–19). Springer Verlag. https://doi.org/10.1007/978-3-319-74730-9_2

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