Incoherent Dedispersion Algorithm Based on GPU

In order to meet the requirements of real-time de-dispersion processing of pulsar signals, a GPU based incoherent de-dispersion algorithm is implemented. We use high-performance parallel computing methods to conduct in-depth research on the incoherent de-dispersion algorithm for multi-thread processing, and propose a parallel acceleration scheme for the algorithm, which solves the problem that the de-dispersion algorithm has a large amount of calculation and cannot be processed in real time. We analyze the intensive computing parts of the algorithm, efficiently use the hierarchical storage structure of the GPU, improve the utilization rate of GPU computing resources, thereby reducing the calculation time, and significantly improving the calculation performance of the incoherent de-dispersion algorithm.