基于SOPC的元胞自动机仿真系统

ellular automata (CA) are useful tools in modeling and simulation of complex systems. Currently most applications of CA are implemented based on the sequential architecture of the digital computer, which is inconsistent with the inherent parallelism of cellular automata and greatly limits the efficiency of simulation. This paper proposes a parallel cellular automata processing system based on the architecture of the system on a programmable chip (SOPC), and implements it on a field-programmable gate array (FPGA) development board. Experiments with the “Game of Life” by this system show significant improvement of computational efficiency in comparison with those of software implementation. The parallel cellular automata processing system is simple, low cost, and extensible for different applications.