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Acceleration of Multiresolution Imaging Algorithms: A Comparative Study

Richard Membarth, Philipp Kutzer, Hritam Dutta, Frank Hannig, Jurgen Teich
Hardware/Software Co-Design, Department of Computer Science, University of Erlangen-Nuremberg, Erlangen, Germany
20th IEEE International Conference on Application-specific Systems, Architectures and Processors, 2009. ASAP 2009

@inproceedings{membarth2009acceleration,

   title={Acceleration of Multiresolution Imaging Algorithms: A Comparative Study},

   author={Membarth, R. and Kutzer, P. and Dutta, H. and Hannig, F. and Teich, J.},

   booktitle={2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors},

   pages={211–214},

   year={2009},

   organization={IEEE}

}

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In this paper we consider a multiresolution filter and its realization on the Cell BE and GPUs. We not only present common and specific optimization strategies undertaken for obtaining maximum performance on these architectures, but also how to obtain a speedup of 6.57x and 33.24x compared to an optimized OpenMP baseline implementation. Furthermore, we also undertake automated configuration space exploration of different partitioning possibilities for selection of best tiling parameters.
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