Transpose memory unit for multi-bit convolutional neural network based computing-in-memory applications, transpose memory array structure for multi-bit convolutional neural network based computing-in-memory applications and computing method thereof

A transpose memory array structure for a plurality of multi-bit convolutional neural network based computing-in-memory applications, which is controlled by a first word line and a second word line, and the transpose memory array structure for the multi-bit convolutional neural network based computing-in-memory applications comprising:

• a plurality of transpose memory units connected to each other via the first word line and the second word line, wherein each of the transpose memory units comprises:
• a memory cell storing a weight, wherein the memory cell is controlled by the first word line and comprises a local bit line transmitting the weight;
• and
• a transpose cell connected to the memory cell and receiving the weight via the local bit line, wherein the transpose cell comprises an input bit line, at least one first input word line, a first output bit line, at least one second input word line and a second output bit line, one of the at least one first input word line and the at least one second input word line transmits at least one multi-bit input value, and the transpose cell is controlled by the second word line to generate a multiply-accumulate output value on one of the first output bit line and the second output bit line according to the at least one multi-bit input value multiplied by the weight.