Apparatus for processing convolutional neural network using systolic array and method thereof

A method for processing a convolutional neural network (CNN) using a systolic array, comprising:

• loading an input feature map including a plurality of channels on address space of a memory;
• loading an M-th (M is natural number) input pixel of a N-th (N is natural number) channel on an N*(M−1)-th address of the address space;
• and
• loading an M-th input pixel of an (N+1)-th channel on an (N+1)*(M−1)-th address of the address space.

An apparatus for processing a convolutional neural network (CNN), comprising:

• a feature map memory;
• a weight memory configured to store first weight group of a first layer;
• a processor configured to apply the first weight group to an input feature map including a plurality of input channels to generate an output feature map;
• and
• an address generator configured to load an M-th input pixel of the N-th input channel into an N*(M−1)-th address in an address space of the feature map memory, load an M-th input pixel of the (N+1)-th input channel into the (N+1)*(M−1)-th address in the address space of the feature map memory, and store the output feature map by overlapping on address of the address space of the feature map memory where the input feature map is stored.