The performance of distributed parallel systems is influenced by many factors, for example, communication mode, parallel algorithm, I/O speed. These factors were discussed and optimized in this paper. Especially for the parallel algorithm, the performance got 41.1% improved after the optimization in this paper. After that, we optimized the I/O for NAPA code based on MPI I/O, and got better performance. At last, in order to analysis the scalability, a series of tests of the hypersonic flat plate flow workload were conducted to identify the efficiency and speedups of the parallel code and in the case of Grid 97*49*49, when 64 processors were conducted, we got good speedup(53.7) and high performance(84%), the results show that this parallel code has good scalability.

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  1. Jin, Jun; Qiao, Nan; Liang, Dewang: Parallel optimization for the NAPA code (2008)