基于MPI的卷积计算,数据矩阵：256*256

–原始矩阵设置：随机50个点设置为255，其余为0

 卷积核：5*5

–明确注明所设计的卷积核

 迭代次数：100

–每5次迭代保存一次数据矩阵

–通过20个结果矩阵，生成动画-MPI-based convolution calculation, data matrix: 256* 256- the original matrix setting: Random 50 points set to 255, the rest is 0 　convolution kernel: 5* 5- clearly indicate the design of convolution kernel 　iterations : 100- once every five iterations saved data matrix- matrix through 20 results generated animation