Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle 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 | Not Eligible |
| 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 |
|---|---|
| Abbreviated title | DSP 2013 |
| Country | Greece |
| City | Santorini |
| Period | 1/07/13 → 3/07/13 |
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Keywords
- Hieararchical motion estimation
- full search motion estimation
- OpenCL
- parallel
- GPU
- video coding
Cite this
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Parallel implementations of motion estimation algorithms using OpenCL. / Heikkinen, Antti; Fono, Lance.
Proceedings: 18th International Conference on Digital Signal Processing, DSP 2013. IEEE Institute of Electrical and Electronic Engineers , 2013. 6622694.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Parallel implementations of motion estimation algorithms using OpenCL
AU - Heikkinen, Antti
AU - Fono, Lance
N1 - Project code: 75725
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Hieararchical motion estimation
KW - full search motion estimation
KW - OpenCL
KW - parallel
KW - GPU
KW - video coding
U2 - 10.1109/ICDSP.2013.6622694
DO - 10.1109/ICDSP.2013.6622694
M3 - Conference article in proceedings
SN - 978-1-4673-5805-7
BT - Proceedings
PB - IEEE Institute of Electrical and Electronic Engineers
ER -