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Modeling GPU-CPU Workloads and Systems

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA
Computer Engineering (2010) Publisher: ACM Press, Pages: 31

@conference{kerr2010modeling,

   title={Modeling gpu-cpu workloads and systems},

   author={Kerr, A. and Diamos, G. and Yalamanchili, S.},

   booktitle={Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units},

   pages={31–42},

   year={2010},

   organization={ACM}

}

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Heterogeneous systems, systems with multiple processors tailored for specialized tasks, are challenging programming environments. While it may be possible for domain experts to optimize a high performance application for a very specific and well documented system, it may not perform as well or even function on a different system. Developers who have less experience with either the application domain or the system architecture may devote a significant effort to writing a program that merely functions correctly. We believe that a comprehensive analysis and modeling frame-work is necessary to ease application development and automate program optimization on heterogeneous platforms.
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