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Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2015 Vol.5(5): 390-393 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2015.V5.565

Hierarchical Architecture of JPEG2000 Parallel Encoder on Multi-GPU Cluster System

Bumho Kim, Jeong-Woo Lee, and Ki-Song Yoon
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. This paper describes the implementation of the JPEG2000 compression standard in multi-GPU platforms. Specifically, we propose the scalable cluster architecture of the JPEG2000 encoder to achieve scalability and high encoding speed. The proposed scheme can reduce the large encoding time and significantly improve the coding efficiency. The proposed scalable cluster system is very suitable for high-resolution video such as 4K or 8K containing large amounts of video data.

Index Terms— JPEG2000, parallel system, hybrid platform, GPGPU, digital cinema.

The authors are with the ETRI (Electronics and Telecommunications Research Institute), Daejeon, South Korea (e-mail: mots@etri.re.kr, jeongwoo@etri.re.kr, ksyoon@etri.re.kr).

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Cite: Bumho Kim, Jeong-Woo Lee, and Ki-Song Yoon, " Hierarchical Architecture of JPEG2000 Parallel Encoder on Multi-GPU Cluster System," International Journal of Information and Electronics Engineering vol. 5, no. 5, pp. 390-393, 2015.

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