The invention provides a priori knowledge-based heterogeneous in-memory computing network-on-
chip architecture optimization method, which comprises the following steps of: constructing a
joint simulation platform of a heterogeneous in-memory computing network-on-
chip, and performing computing and communication
delay joint pipeline
simulation on the heterogeneous in-memory computing network-on-
chip by adopting the
joint simulation platform; a three-stage search strategy based on priori knowledge is adopted, search is conducted in a heterogeneous architecture space of the computing network-on-chip in the heterogeneous memory, a preset
lookup table and a preset
simulated annealing algorithm are adopted to optimize the search process, and target architecture configuration of the computing network-on-chip in the heterogeneous memory is determined; and according to the target architecture configuration of the heterogeneous in-memory computing network-on-chip, optimizing the core
layout of the heterogeneous in-memory computing network-on-chip by adopting a force-oriented
algorithm, and determining the architecture of the optimized heterogeneous in-memory computing network-on-chip. According to the method, the search efficiency of computing hardware configuration of the network-on-
chip architecture in the heterogeneous memory and the optimization degree of computing
delay time,
power consumption and area are effectively improved.