Research on Optimal Test of NoC Resource Cores Based on Cloud Quantum Evolution Algorithm

For the increasing number of the NoC resources cores,a method of NoC resources cores parallel test with cloud quantum evolutionary algorithm optimally selecting test ports was proposed,in order to reduce the test time of these cores.Firstly,improving quantum evolution algorithm with cloud model is proposed.Then the method is presented to determin the maximum of test ports with system limited power,select the most optimal location of ports with cloud quantum evolutionary algorithm,and test cores in parallel through multi test ports.The method is effective to reduce the test time of NoC resource cores,and the effect will be better in larger network;at the same time,compared with quantum evolutionary algorithm, the cloud quantum evolutionary algorithm has better stability.