This paper presents the OpenMP parallel implementation of the Distinct Lattice Spring Model (DLSM). The motivation of this study is to reduce the computing time and increase the computational capacity of the DLSM code. Firstly, the basic theory of DLSM is introduced. As an explicit method, the DLSM is very suitable for parallelization implementation. Only a few code changes are needed for the OpenMP implementation. Then; the detail parallel design of the OpenMP implementation is presented. Finally, numerical examples are evaluated on quad-core PCs to test the speedup of the parallel DLSM. It is found that a maximum speedup of more than four times is achieved. This means the implementation is successful.