An OpenCL-based Implementation of H.264 Encoder

Young Chun Kwon, Chanho Park, Daeseok Oh, WooSuk Jang, Nakhoon Baek
School of Computer Sci. and Eng., Kyungpook National Univ., Daegu 702-701, Korea
Advanced Science and Technology Letters, Vol.28 (CIA 2013), pp.72-76 , 2013

   title={An OpenCL-based Implementation of H. 264 Encoder},

   author={Kwon, Young Chun and Park, Chanho and Oh, Daeseok and Jang, WooSuk and Baek, Nakhoon},



Download Download (PDF)   View View   Source Source   



We present an accelerated implementation of high-speed video stream encoder for the H.264 digital video codec standard. Based on the parallel processing techniques with GPU’s, we used an OpenCL-based GPU kernel programs. We achieved a high-level CPU-GPU interoperability, through making CPU perform all input/output operations and overall stream control, while GPU does the core encoding operations. Our final result shows remarkable speed-up in comparison with the previous implementations.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

Follow us on Twitter

HGPU group

1666 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

339 people like HGPU on Facebook

* * *

Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
  • GPU device 0: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

The information send to hgpu.org will be treated according to our Privacy Policy

HGPU group © 2010-2015 hgpu.org

All rights belong to the respective authors

Contact us: