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Heterogeneous acceleration of volumetric JPEG 2000 using OpenCL

This publication appears in: International Journal of High Performance Computing Applications

Authors: J. G Cornelis, J. Lemeire, T. Bruylants and P. Schelkens

Volume: 31

Issue: 3

Pages: 229-245

Publication Year: 2017


Abstract:

This paper discusses an OpenCL version of a volumetric JPEG 2000 codec that runs on GPUs, multi-core processors or a combination of both. Since the performance critical part consists of a fine-grained (discrete wavelet transform) and coarse-grained algorithm (Tierǃ), the best performance is obtained with a hybrid execution in which the discrete wavelet transform is executed on a GPU and Tierǃ on a multi-core. Using an Intel i7 multi-core in combination with a modest NVIDIA Quadro K620 GPU yields speedups greater than 10 compared with the original sequential code. The performance bottlenecks that arise on GPUs when parallelizing algorithms that are coarse-grained by nature are discussed and also the optimizations that are possible. A performance analysis reveals the inefficiencies and explains the deviations from the GPU peak performance.

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Mr. Jan G Cornelis

+32 (0)02 629 167

jgcornel@etrovub.be

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Prof. Jan Lemeire

+32 (0)02 629 167

jlemeire@etrovub.be

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Prof. Dr. Ir. Peter Schelkens

+32 (0)02 629 168

pschelke@etrovub.be

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