The invention discloses a 
hardware acceleration implementation 
system and a method for an RNN 
forward propagation model based on a transverse pulsation array. The method comprises the steps of firstly, configuring network parameters, initializing data, lateral 
systolic array, wherein a blocking design is adopted in the weight in calculation; partitioning a weight matrix calculated by the 
hidden layer according to rows; carrying out 
matrix multiplication vector and vector summation operation and 
activation function operation; calculating 
hidden layer neurons, obtaining 
hidden layer neurons according to the obtained hidden layer neurons; performing 
matrix multiplication vector, vector summation operation and 
activation function operation; generating an RNN output layer result; finally, generating an output result required by the RNN network according to 
time sequence length configuration information; according to the method, a hidden layer and an output layer are parallel in a multi-dimensional mode, the pipelining performance of calculation is improved, meanwhile, the characteristic of weight matrix parameter sharing in the RNN is achieved, the partitioning design is adopted, the parallelism degree of calculation is further improved, the flexibility, expandability, the storage 
resource utilization rate and the acceleration ratio are high, and calculation is greatly reduced.