Heterogeneous acceleration of volumetric JPEG 2000 using OpenCL. (May 2017)

• Record Type: Journal Article
• Authors: Cornelis, Jan G.; Lemeire, Jan; Bruylants, Tim; Schelkens, Peter
• Other Names: Aldinucci Marco guest-editor.; Brorsson Mats guest-editor.; D'Agostino Daniele guest-editor.; Daneshtalab Masoud guest-editor.; Kilpatrick Peter guest-editor.; Leppänen Ville guest-editor.
• Is Part Of: International journal of high performance computing applications. Volume 31:Number 3(2017)
• Page Start: 229
• Page End: 245
• Publication Date: 2017-05
• Subjects: Hybrid -- OpenCL -- GPU -- multi-core -- volumetric JPEG 2000; High performance computing -- Periodicals; Supercomputers -- Periodicals; 004.1105
• DOI: 10.1177/1094342016646438
• Languages: English
• ISSNs: 1094-3420

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 (Tier-1), the best performance is obtained with a hybrid execution in which the discrete wavelet transform is executed on a GPU and Tier-1 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.