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Compute Unified Device Architecture Application Suitability

Wen M. Hwu, Christopher Rodrigues, Shane Ryoo, John Stratton
University of Illinois
Computing in Science and Engg., Vol. 11, No. 3. (2009), pp. 16-26

@article{hwu2009compute,

   title={Compute unified device architecture application suitability},

   author={Hwu, W.M. and Rodrigues, C. and Ryoo, S. and Stratton, J.},

   journal={Computing in Science & Engineering},

   volume={11},

   number={3},

   pages={16–26},

   issn={1521-9615},

   year={2009},

   publisher={IEEE}

}

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Graphics processing units (GPUs) can provide excellent speedups on some, but not all, general-purpose workloads. Using a set of computational GPU kernels as examples, the authors show how to adapt kernels to utilize the architectural features of a GeForce 8800 GPU and what finally limits the achievable performance.
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