飞机载荷谱实测数据并行统计处理算法

Abstract

Abstract: The parallel algorithm was presented for enhancing the statistics processing efficiency of thousands of billions aircraft load spectrum testing data. The data processing was multi-level parallel analyzed, and the coarse-grained, medium-grained, fine-grained level parallel processing modes were formulated. Two parallel algorithms were proposed ultimately, one is coarse-grained and medium-grained parallel algorithm based on aircraft type data flow, and the other is medium grain and fine-grain parallel algorithm based on flight data flow. Comparison test based on the small-scale SMP (Symmetrical Multi-processors) cluster shows that the algorithms can improve statistical processing efficiency greatly. A highest speedup of 5.82 in 8 cores can be achieved. The algorithms present a creative method for the complex scientific computation and enhance the computing efficiency in real testing data processing of load spectrum.

Key words: plasticity mechanics, parallel algorithm, aircraft load spectrum data statistics processing, symmetrical multi-processors(SMP)

CLC Number:

O347

YAN Guang, LIU Li-hong, ZUO Chun-cheng. Parallel statistics processing algorithm of aircraft load spectrum testing data[J]., 2012, (03): 683-688.

References

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Parallel statistics processing algorithm of aircraft load spectrum testing data

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