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Real-World Constraints of GPUs in Real-Time Systems

Glenn A. Elliott, James H. Anderson
Department of Computer Science, University of North Carolina at Chapel Hill
IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2011

@inproceedings{elliott2011real,

   title={Real-World Constraints of GPUs in Real-Time Systems},

   author={Elliott, G.A. and Anderson, J.H.},

   booktitle={Embedded and Real-Time Computing Systems and Applications (RTCSA), 2011 IEEE 17th International Conference on},

   volume={2},

   pages={48–54},

   year={2011},

   organization={IEEE}

}

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Graphics processing units (GPUs) are becoming increasingly important in today’s platforms as their increased generality allows for them to be used as powerful coprocessors. In this paper, we explore possible applications for GPUs in real-time systems, discuss the limitations and constraints imposed by current GPU technology, and present a summary of our research addressing many such constraints.
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