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Texture Cache Approximation on GPUs

Mark Sutherland, Joshua San Miguel, Natalie Enright Jerger
Dept. of Electrical and Computer Engineering, University of Toronto
Workshop on Approximate Computing Across the Stack (WAX), 2015

@article{sutherland2015texture,

   title={Texture Cache Approximation on GPUs},

   author={Sutherland, Mark and San Miguel, Joshua and Jerger, Natalie Enright},

   year={2015}

}

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We present texture cache approximation as a method for using existing hardware on GPUs to eliminate costly global memory accesses. We develop a technique for using a GPU’s texture fetch units to generate approximate values, and argue that this technique is applicable to a wide variety of GPU kernels. Applying texture cache approximation to an image blur kernel on an NVIDIA 780GTX, we obtain a 12% reduction in kernel execution time while only introducing 0.4% output error in the final image.
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