Title :
A parallel implementation of JPEG2000 encoder on multi-GPU system
Author :
Bumho Kim ; Jeong-Woo Lee ; Ki-Song Yoon
Author_Institution :
ETRI (Electron. & Telecommun. Res. Inst.), Daejeon, South Korea
Abstract :
There has been an increase in the demand for a high-quality video codec that supports 4K (3,840 × 2,160) or more. JPEG2000 is an important technique for data compression, which has been successfully used in digital cinema and medical application. To process the high workload of JPEG2000 coding for large-scale video data, hybrid CPU/GPU platform is used to obtain high computing power. In this paper, we develop and implementation of the JPEG2000 compression standard in hybrid CPU/GPU platforms. Specifically, we develop multi-GPU implementations of the JPEG2000 encode to obtain high computing power and balance the load between cores and GPUs in the hybrid architecture. In out experiments with multi-GPU, we couple the JPEG2000 codec optimized for multicores and multi-GPUs and achieve high performance of the JPEG2000 compression.
Keywords :
data compression; encoding; graphics processing units; multiprocessing systems; parallel processing; video codecs; JPEG2000 codec; JPEG2000 coding; JPEG2000 encoder; data compression; digital cinema; hybrid CPU/GPU platform; joint photographic experts group; large scale video data; medical application; multiGPU system; multicores; parallel implementation; video codec; Encoding; Graphics processing units; Image coding; Multicore processing; Standards; Transform coding; Digital Cinema; GPGPU; Hybrid Platform; JPEG2000; Parallel System;
Conference_Titel :
Advanced Communication Technology (ICACT), 2014 16th International Conference on
Conference_Location :
Pyeongchang
Print_ISBN :
978-89-968650-2-5
DOI :
10.1109/ICACT.2014.6779033