A KNN Optimization Based on GPU Parallel Computing Method

2019 ◽  
Author(s):  
Bo Liu ◽  
Jianhou Gan ◽  
Bin Wen
Keyword(s):  
Parallel Computing ◽  
Gpu Parallel Computing ◽  
Computing Method

scholarly journals Hologram speed-up computation of slice-based 3D objects using GPU parallel computing method

2019 ◽  
Vol 40 (4) ◽  
pp. 620-626
Author(s):  
XIAO Bo ◽  
ZHENG Huadong ◽  
LIU Kejian ◽  
LI Fei ◽  
GAO Zhifang
Keyword(s):  
Parallel Computing ◽  
3D Objects ◽  
Gpu Parallel Computing ◽  
Speed Up ◽  
Computing Method

A GPU parallel computing method for LPUSS

2013 ◽  
Vol 27 (15) ◽  
pp. 1199-1207 ◽  
Author(s):  
Chyon Hae Kim ◽  
Shigeki Sugano
Keyword(s):  
Parallel Computing ◽  
Gpu Parallel Computing ◽  
Computing Method

scholarly journals An Efficient Parallel Computing Method for the Processing of Large Sensed Data

Automatika ◽  
2013 ◽  
Vol 54 (4) ◽  
pp. 471-482
Author(s):  
Dandan Li ◽  
Xiaohui Ji ◽  
Qun Wang
Keyword(s):  
Parallel Computing ◽  
Computing Method

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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