Accelerating Genetic Algorithm Using General Purpose GPU and CUDA

Author(s):  
Rashmi Sharan Sinha ◽  
◽  
Satvir Singh ◽  
Sarabjeet Singh ◽  
Vijay Kumar Banga ◽  
...  
2016 ◽  
Vol 7 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Rashmi Sharan Sinha ◽  
Satvir Singh ◽  
Sarabjeet Singh ◽  
Vijay Kumar Banga

2015 ◽  
Vol 781 ◽  
pp. 568-571 ◽  
Author(s):  
Sanun Srisuk ◽  
Wachirapong Kesjindatanawaj ◽  
Surachai Ongkittikul

In this paper, we present a technique for accelerating the bilateral filtering using GPGPU. Bilateral filtering is a tool for an image smoothing with edge preserving properties. It serves as a mixture of domain and range filters. Domain filter suppresses Gaussian noise while range filter maintains sharp edges. Bilateral filtering is a nonlinear filtering in which the filter kernel must be computed pixel by pixel. Therefore conventional fast Fourier transform technique cannot be used to accelerate the bilateral filtering. Instead, general purpose GPU is used as a parallel machine to reduce time consuming of the bilateral filtering. We will show the experimental results by comparing the computation time of CPU and GPU. It was cleared that, from the experimental results, GPU outperformed the CPU in terms of computation time.


10.5772/57057 ◽  
2013 ◽  
Vol 10 (10) ◽  
pp. 375 ◽  
Author(s):  
Wanglong Yan ◽  
Xiaohua Shi ◽  
Xin Yan ◽  
Lina Wang

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