Abstract: Given that the realization of dynamic pattern recognition of deterministic learning theory is timeconsuming, a multicore parallel computation technique suitable for recognition process is proposed. Firstly, based on the classical Mansoux compressor model, the acquirement of patterns and the process of recognition are described in brief. Secondly, parallel computing is applied to dynamic pattern recognition by using OpenMP programming on four cores PC hardware platform. Factors which influence the performance of program are discussed by setting different thread numbers. The result shows that the only way to design parallel recognition program with high performance is taking kinds of elements into account.

Key words: parallel computing, OpenMP, deterministic learning, pattern recognition