GPU accelerated training of image convolution filter weights using genetic algorithms

- This paper proposes a fast algorithm for training image filter using GPU.
- Parallelization of genetic algorithms is realized by master-slave method.
- Sub-image based (SBM) method is proposed to use the GPU efficiently.
- SBM is developed by discussing other alternative design considerations.
- Experimental results show about 50× to 90× acceleration using GeForce GTX 660.