Data race is a difficult problem for the development and testing of the concurrent program. Research has found that data race may cause duplicate computing which may decrease a system’s performance. First, the concurrent computation redundancy problem (CCRP) is defined. The related performance index and judging methods are given, and the general concurrent redundancy control mechanism is designed. When CCRP is studied,the parallel program generally be analyzed based on a producer-consumer model. In the case of the producerconsumer model with data source, CCRP is analyzed in detail. The single condition and cross condition redundancycontrol algorithms have different application scopes and can be used as fixed patterns to solve CCRP. Relativeproperty proofs and simulations are given based on Petri net. The concurrent program experiments show that theconcurrent redundancy control is necessary and efficient. Two control algorithms are compared in the experiments.The research has reference value for data race detection and concurrent programming.