Heterogeneous acceleration of volumetric JPEG 2000 using OpenCL

被引：0
|
作者：
Cornelis, Jan G. [1 ,3 ]
Lemeire, Jan [1 ,2 ,3 ]
Bruylants, Tim [1 ,3 ]
Schelkens, Peter [1 ,3 ]
机构：
[1] Vrije Univ Brussel, Elect & Informat ETRO Dept, Pl Laan 2, B-1050 Brussels, Belgium
[2] Vrije Univ Brussel, Dept Ind Sci INDI, Brussels, Belgium
[3] iMinds, Multimedia Technol Dept, Ghent, Belgium
来源：
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS | 2017年 / 31卷 / 03期
基金：
欧洲研究理事会;
关键词：
Hybrid; OpenCL; GPU; multi-core; volumetric JPEG 2000;
D O I：
10.1177/1094342016646438
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：229 / 245
页数：17
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