The invention relates to a sparsity-aware neural processing unit for performing constant probability index matching and a processing method of the same. A method of processing of a sparsity-aware neural processing unit includes receiving a plurality of input activations (IAs); obtaining a weight having a non-zero value in each weight output channel; obtaining an input channel index, wherein the input channel index stores the weight and the IAs in a memory and includes a memory address position in which the weight and the IAs are stored; and in an index matching unit (IMU) including a buffer memory storing the index of the input channel, arranging the weight of the non-zero value of each weight output channel according to the row size of the IMU, and matching the weight and the IAs.
SPARSITY-AWARE NEURAL PROCESSING UNIT FOR PERFORMING CONSTANT PROBABILITY INDEX MATCHING AND PROCESSING METHOD OF THE SAME