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Compared with the traditional distributed-memory High Performance Computing (DMHPC), the shared-memory High Performance Computing (SMHPC) not only saves data transporting time, but also simplifies computation-process.Furthermore, it predominates in solving special problems. The performance of SMHPC has been studied by CFD application.The results indicated that the CFD problems with small size of grids could not reflect the advantage of SMHPC. As the advantage of the performance of CPU, serial run was faster by using DMHPC than SMHPC, however, with the increasing of processors, the advantage of SMHPC network became the dominant factor. SMHPC parallel run came out to be much faster. The largest speedup value of 11.78 achieved here on the parallelization using SMHPC with 30 processors was encouraging. SMHPC was a very easy-to-use and efficient parallel computing tool for the CFD problems.