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Conference Paper
A Parallel Implementation of JPEG2000 Encoder on Multi-GPU System
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- Authors
- Bumho Kim, Jeong-Woo Lee, Ki-Song Yoon
- Issue Date
- 2014-02
- Citation
- International Conference on Advanced Communication Technology (ICACT) 2014, pp.610-613
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- 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. © 2014 Global IT Research Institute (GIRI).
- KSP Keywords
- Computing power, Digital cinema, GPU platform, High Workload, High computing, High performance, High-quality, JPEG2000 compression, Medical Applications, Multi-GPUS, Parallel implementation