Optimization of 3D NoC Test Based on Particle Swarm Optimization

The IP core test problem in three dimensional network-on-chip(3D NoC) is becoming increasingly obvious. In this paper, the improved discrete particle swarm optimization algorithm and a bandwidth division multiplexing method are used to optimal the test data assignment and scheduling for IP core. In order to enhance the global exploration ability and improve the stagnation phenomenon, the algorithm realizes the dynamic adjustment of the forward speed of particle by monitoring the population diversity, meanwhile, adjust the inertia weight adaptively to increase the local development ability. Taking ITC'02 standard circuit as the test object, experiment was conducted; and the experiment results show that the proposed method can effectively maximize the parallel test of 3D NoC, thus shortened the test time as well as improved the resource utilization.