Introduction - If you have any usage issues, please Google them yourself
Multithreading convolution 1) Data Matrix: 256* 256- the original matrix settings: a randomized 50-point set to 255, the rest is 02) convolution kernels: 5* 5- convolution kernel designed specifically stated 3) Iterations: 100- once every five iterations save data matrix- matrix results through 20, randomly generated initial matrix generated animation, randomly assigned number is 255 50