Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

Scalable Parallel Motion Estimation on Muti-GPU system

Authors
Dong Chen, Huayou Su, Wen Mei, Lixuan Wang, Chunyuan Zhang
Corresponding Author
Dong Chen
Available Online February 2013.
DOI
https://doi.org/10.2991/isccca.2013.158How to use a DOI?
Keywords
scalable,motion estimation,full search,multi-GPU,
Abstract
With NVIDIA’s parallel computing architecture CUDA, using GPU to speed up compute-intensive applications has become a research focus in recent years. In this paper, we proposed a scalable method for multi-GPU system to accelerate motion estimation algorithm, which is the most time consuming process in video encoding. Based on the analysis of data dependency and multi-GPU architecture, a parallel computing model and a communication model are designed. We tested our parallel algorithm and analyzed the performance with 10 standard video sequences in different resolutions using 4 NVIDIA GTX460 GPUs, and calculated the overall speedup. Our results show that a speedup of 36.1 times using 1 GPU and more than 120 times for 4 GPUs on 1920x1080 sequences. Further, our parallel algorithm demonstrated the potential of nearly linear speedup according to the number of GPUs in the system.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/isccca.2013.158How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dong Chen
AU  - Huayou Su
AU  - Wen Mei
AU  - Lixuan Wang
AU  - Chunyuan Zhang
PY  - 2013/02
DA  - 2013/02
TI  - Scalable Parallel Motion Estimation on Muti-GPU system
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 628
EP  - 632
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.158
DO  - https://doi.org/10.2991/isccca.2013.158
ID  - Chen2013/02
ER  -