Method and apparatus for processing convolution operation in neural network

An apparatus for processing a convolution operation in a neural network, the apparatus comprising:

• a processor is further configured to:
• determine m first-bit feature map operands and n second-bit weight operands from input feature maps and kernels, respectively, on which the convolution operation is to be performed, wherein m and n are each a natural number;
• dispatch m×n operand pairs of a feature map operand and a weight operand, which are combined from the first-bit feature map operands and second-bit weight operands, respectively to decomposed sub-multipliers in a convolution operator;
• generate m×n outputs by performing addition and accumulation operations on results of multiplication operations performed by the decomposed sub-multipliers;
• and
• obtain pixel values of output feature maps corresponding to results of the convolution operation based on the m×n outputs.