Programming on domestic high-performance many-core processors has requirement of using the lowest-level interface to develop software， making programming and debugging very difficult. Moreover， the limitations of programming models for high-performance software on these platforms and the absence of common computing software are identified as factors that contribute to repetitive development work. Aiming at the above problems， a generalized programming model and corresponding support library were realized： on the one hand， the thread-level parallelism of domestic high-performance many-core processors based on the message queue mechanism was developed； on the other hand， the data-level parallelism on slave cores based on the Single Instruction Multiple Data （SIMD） programming model was developed. Firstly， the architecture of the domestic high-performance multicore processor was abstracted. Then， a message queue mechanism was designed for the proposed model， along with a set of heterogeneous parallel programming interfaces， including system parameter interface， slave core thread control interface， message queue interface， and SIMD abstraction interface. Finally， a new software development model and methodology for high-performance computing were formed on the basis of the above， which was convenient for users to develop parallel computing software based on domestic high-performance many-core processors. The results of performance transmission test show that the transmission bandwidth of the proposed model on domestic many-core processors generally reaches 90% of the peak DMA （Direct Memory Access） bandwidth when a few multi-cores are turned on； and that the transmission bandwidth of the message queue model generally reaches 70% of the peak DMA bandwidth when a large number of multi-cores are turned on. In matrix multiplication experiments， the performance of the proposed model reaches 90% of the performance of the system’s original primitives for transferring matrices and calculating them； in password guessing system， the performance of the proposed model code is basically the same as that of the code developed by using the lowest-level interface directly. The proposed generalized programming model and support framework make the High Performance Computing （HPC） software development easier and more portable， which can help to promote the development of domestic independent HPC software.