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An integrated GPU power and performance model

Sunpyo Hong, Hyesoon Kim
Electrical and Computer Engineering, Georgia Institute of Technology
In ISCA ’10: Proceedings of the 37th annual international symposium on Computer architecture (2010), pp. 280-289.

@conference{hong2010integrated,

   title={An integrated GPU power and performance model},

   author={Hong, S. and Kim, H.},

   booktitle={Proceedings of the 37th annual international symposium on Computer architecture},

   pages={280–289},

   year={2010},

   organization={ACM}

}

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GPU architectures are increasingly important in the multi-core era due to their high number of parallel processors. Performance optimization for multi-core processors has been a challenge for programmers. Furthermore, optimizing for power consumption is even more difficult. Unfortunately, as a result of the high number of processors, the power consumption of many-core processors such as GPUs has increased significantly.
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