Highly reliable systems simulation accelerated using CPU and GPU parallel computing

2016 ◽  
pp. 119-129
Author(s):  
S Domesová ◽  
R Briš
Keyword(s):  
Parallel Computing ◽  
Gpu Parallel Computing ◽  
Reliable Systems ◽  
Systems Simulation

Video Synopsis Generation Using GPGPU

2013 ◽  
Vol 433-435 ◽  
pp. 297-300
Author(s):  
Zong Yue Wang
Keyword(s):  
Parallel Computing ◽  
Original Video ◽  
Generation Efficiency ◽  
Generation Algorithm ◽  
Video Representation ◽  
Gpu Parallel Computing ◽  
Video Synopsis ◽  
Video Summaries

Video summaries provide a compact video representation preserving the essential activities of the original video, but the summaries may be confusing when mixing different activities together. Summaries Clustered methodology, showing similar activities simultaneously, enables to view much easier and more efficiently. However, it is very time consuming in generating summaries, especially in calculating motion distance and collision cost. To improve the efficiency of generating summaries, a parallel video synopsis generation algorithm is proposed based on GPGPU. The experiment result shows generation efficiency is improved greatly through GPU parallel computing. The acceleration radio can reach at 5.75 when data size is above 1600*960*30000.

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