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Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile

Federico Ciccozzi
School of Innovation, Design and Engineering – IDT, Malardalen University, Vasteras, Sweden
International Workshop on Model Based Architecting and Construction of Embedded Systems (at MODELS), 2013

@inproceedings{Ciccozzi3035,

   author={Federico Ciccozzi},

   title={Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile},

   month={October},

   year={2013},

   booktitle={International Workshop on Model Based Architecting and Construction of Embedded Systems (at MODELS)}

}

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Modern embedded systems present an ever increasing complexity and model-driven engineering has been shown to be helpful in mitigating it. In our previous works we exploited the power of model-driven engineering to develop a round-trip approach for aiding the evaluation and assessment of extra-functional properties preservation from models to code. In addition, we showed how the round-trip approach could be employed to evaluate different deployment strategies, and the focus was on homogeneous CPUbased platforms. Due to the fact that the assortment of target-platforms in the embedded domain is inevitably shifting to heterogeneous solutions, our goal is to broaden the scope of the round-trip approach towards mixed CPU-GPU configurations. In this work we focus on the modelling of heterogeneous deployment and the enhancement of the current automatic code generator to synthesize code targeting such heterogeneous configurations.
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