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The image processing applications involve huge amount of computational complexity as the operations are carried out on each pixel of the image. The General Purpose computations that are data independent can run on Graphics Processing Units (GPU) to enable speedup in running time due to high level of parallelism. Compute Unified Device Architecture (CUDA) and Open Computing Language (OpenCL) programming...
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...
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