Abstract: With the fast development in computer and microprocessor,Scientific Computing using CPU/GPU hybrid computing cluster has become a tendency.In this paper,from programming point of view,we propose the method of GPU scheduling to improve calculation efficiency.The main methods are through the combination of MPI(Message Passing Interface) and CUDA(Compute Unified Device Architecture) based on GPU to program.According to running condition of the parallel program,the characteristic of CPU/GPU hybrid computing cluster is analyzed.From the characteristic,the optimization strategy of parallel programs is found.So,the strategy will provide basis for improving the CPU/GPU parallel program.