2746

Automatically translating a general purpose C++ image processing library for GPUs

Jay L. T. Cornwall, Olav Beckmann, Paul H. J. Kelly
Department of Computing, Imperial College London, United Kingdom
20th International Parallel and Distributed Processing Symposium, 2006. IPDPS 2006.

@conference{cornwall2006automatically,

   title={Automatically translating a general purpose C++ image processing library for GPUs},

   author={Cornwall, J.L.T. and Beckmann, O. and Kelly, P.H.J.},

   booktitle={Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International},

   pages={8},

   isbn={1424400546},

   year={2006},

   organization={IEEE}

}

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This paper presents work-in-progress towards a C++ source-to-source translator that automatically seeks parallelizable code fragments and replaces them with code for a graphics co-processor. We report on our experience with accelerating an industrial image processing library. To increase the effectiveness of our approach, we exploit some domain-specific knowledge of the library’s semantics. We outline the architecture of our translator and how it uses the ROSE source-to-source transformation library to overcome complexities in the C++ language. Techniques for parallel analysis and source transformation are presented in light of their uses in GPU code generation. We conclude with results from a performance evaluation of two examples, image blending and an erosion filter, hand-translated with our parallelization techniques. We show that our approach has potential and explain some of the remaining challenges in building an effective tool.
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