Research on homegrown manycore architecture for intelligent computing

In recent times, the demand for the computational capability of artificial intelligence (AI) is increasing rapidly. It is well-known that high parallelism algorithm and strong reusability of data provide more design space for processor architecture design. The manycore processor has a huge development space of AI with its strong on-chip computing power, flexible on-chip architecture, efficient on-chip communication, and flexible optimized storage. Based on the history of the development of manycore processors, this paper summarizes the main technical routes and focuses on the requirements of AI applications for the architecture and critical features of domestic manycore processors.