Abstract
Parallel processors such as Graphics processing units (GPUs) have emerged as co-processing units for central processing units (CPUs) to accelerate different applications. Open Computing Language (OpenCL) is a framework for multiprocessing in heterogeneous platforms. In this paper we focus on motion estimation which is the most time consuming task in video coding. We study two motion estimation algorithms in terms of parallel execution. We implemented the full search algorithm and the hierarchical search algorithm with OpenCL and with C code. Our measurements show that the OpenCL-based implementations of the algorithms on the GPU can achieve nearly 10 times speedup compared to the corresponding C implementation on a single CPU.
Original language | English |
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Title of host publication | 18th International Conference on Digital Signal Processing, DSP 2013 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
ISBN (Print) | 978-1-4673-5805-7 |
DOIs | |
Publication status | Published - 2013 |
MoE publication type | A4 Article in a conference publication |
Event | 18th International Conference on Digital Signal Processing, DSP 2013 - Santorini, Greece Duration: 1 Jul 2013 → 3 Jul 2013 |
Conference
Conference | 18th International Conference on Digital Signal Processing, DSP 2013 |
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Abbreviated title | DSP 2013 |
Country/Territory | Greece |
City | Santorini |
Period | 1/07/13 → 3/07/13 |
Keywords
- Hieararchical motion estimation
- full search motion estimation
- OpenCL
- parallel
- GPU
- video coding