Input sequence re-ordering method and input sequence re-ordering unit with multi input-precision reconfigurable scheme and pipeline scheme for computing-in-memory macro in convolutional neural network application

Abstract

An input sequence re-ordering method with a multi input-precision reconfigurable scheme and a pipeline scheme for a computing-in-memory macro in a convolutional neural network application is configured to re-order a plurality of multi-bit input signals and includes performing a scanning step and a re-ordering step. The scanning step includes driving a scanner to scan one group of the multi-bit input signals to determine whether an initial value of a plurality of flag signals in one of a plurality of multi-bit section flags is changed to an inverted initial value according to a plurality of bit numbers of the one group of the multi-bit input signals. The re-ordering step includes driving a sorter to select a part of the one group of the multi-bit input signals corresponding to a plurality of the inverted initial values of the flag signals in the one of the multi-bit section flags.