11539

Performance Tradeoff Spectrum of Integer and Floating Point Applications Kernels on Various GPUs

M.G.B. Johnson, D. P. Playne, K.A. Hawick
Computer Science, Massey University, North Shore 102-904, Auckland, New Zealand
The 2013 International Conference on Computer Design (CDES’13), 2013

@inproceedings{johnson2013performance,

   title={Performance tradeoff spectrum of integer and floating point applications kernels on various gpus},

   author={Johnson, MGB and Playne, DP and Hawick, KA},

   booktitle={Proc. 13th International Conference on Computer Design (CDES’13), number CSTN-180, WorldComp, p. CDE4086},

   year={2013}

}

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Floating point precision and performance and the ratio of floating point units to integer processing elements on a graphics processing unit accelerator all continue to present complex tradeoffs for optimising core utilisation on modern devices. We investigate various hybrid CPU and GPU combinations using a range of different GPU models occupying different points in this tradeoff space. We analyse some performance data for a range of numerical simulation kernels and discuss their use as benchmark problems for characterising such devices.
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