Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile
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)}
}
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.
November 8, 2013 by hgpu
