Matrix multiplier structure and multiplying method capable of transpose matrix multiplication

摘要

According to the present invention, a matrix multiplier structure capable of transposing matrix multiplication includes: a weight matrix unit in which a weight of a plurality of unit weight units each set to a predetermined weight constitutes an m×n matrix; a first input/output unit including m signal converters each receiving m first signals from an input terminal and converting them into predetermined signals during a constant wave operation; and a second input/output unit including n calculus units for summing and integrating outputs of each unit weight unit of a corresponding column among the plurality of unit weight units during a static wave operation, and outputting n second signals to a corresponding output terminal. characterized by including. Accordingly, the matrix multiplier structure capable of transposing matrix multiplication according to the present invention provides a hardware matrix multiplication method having a weight transpose function and a weight reciprocal function at the same time, and is performed in an artificial intelligence algorithm using a neural network. It has the effect of performing all matrix operations at high speed and lowering the operation cost.