Hardware Implementation of a Convolutional Neural Network

A hardware implementation of a Convolutional Neural Network (CNN), the hardware implementation comprising:

• an interface configured to receive a first subset of data comprising at least a portion of weight data and at least a portion of input data for a CNN layer, and configured to receive a second subset of data comprising at least a portion of weight data and at least a portion of input data for the CNN layer;
• at least one convolution engine configured to perform a convolution of the first subset of data to generate a first partial result and configured to perform a convolution of the second subset of data to generate a second partial result;
• and
• wherein the hardware implementation is configured to combine the first partial result and the second partial result to generate at least a portion of convolved data for a layer of the CNN.

A non-transitory computer readable storage medium having stored thereon a computer readable description of an integrated circuit that, when processed in an integrated circuit manufacturing system, causes the integrated circuit manufacturing system to manufacture a hardware implementation of a Convolutional Neural Network (CNN), the hardware implementation comprising:

• an interface configured to receive a first subset of data comprising at least a portion of weight data and at least a portion of input data for a CNN layer, and configured to receive a second subset of data comprising at least a portion of weight data and at least a portion of input data for the CNN layer;
• at least one convolution engine configured to perform a convolution of the first subset of data to generate a first partial result and configure to perform a convolution of the second subset of data to generate a second partial result;
• and
• wherein the hardware implementation is configured to combine the first partial result and the second partial result to generate at least a portion of convolved data for a layer of the CNN.