Analysis of the tensor of processors for effectiveness apply to calculate systolic arrays for neural networks

Nowadays we often use neural networks at many fields of life: translation, speech recognition, image search, advertising, ranging of search result. However, task of machine learning often uses a lot of calculations. The structure of neural networks looks good for execute calculations at parallel processors. At this report we analyze some of the modern tensor processors for parallel neural network calculations.