Semiconductor device and memory access setup method

Abstract

Limitations on memory access decrease the computing capability of related-art semiconductor devices during convolution processing in a convolutional neural network. A semiconductor device according to an aspect of the present invention includes an accelerator section that performs computation on a plurality of intermediate layers included in a convolutional neural network by using a memory having a plurality of banks capable of changing the read/write status on an individual bank basis. The accelerator section includes a network layer control section that controls a memory control section in such a manner as to change the read/write status assigned to the banks storing input data or output data of the intermediate layers in accordance with the transfer amounts and transfer rates of the input data and output data of the intermediate layers included in the convolutional neural network.