Parallel Implementation of BP Neural Network for Traffic Prediction on Sunway Blue Light Supercomputer

Parallelized training algorithm of MLP-BP neural network is implemented on the Sunway Blue Light Supercomputer. Efforts are mainly focused on the dada parallel method based on the characteristics of the training process. The implementation mainly depends on MPI techniques, which ensures the universality of the application. A new strategy of data partition and storage is applied in the parallelism. Tests of short-term traffic prediction which is significant in the intelligent transportation system are carried out to verify the accuracy and efficiency of the routines.