机载设备振动环境实测数据处理并行算法

Parallel Data Processing Algorithm of Environmental Vibration for Airborne Equipment

为了提高机载设备振动环境实测数据处理效率,提出了一种并行化数据处理和振动环境谱编制方法。在SMP(symmetrical multi-processing)集群系统的多级体系结构下,以Welch(改进周期图法)算法为基础,进行了振动数据处理模型的并行化分析,对于并行化过程中存在的并行I/O、负载平衡等关键问题进行了讨论,提出了相应的解决方案。最终选择基于MPI/Open MP混合方式实现了算法。在搭建的集群环境下测试表明,12核参与运算的条件下,最高加速比可以达到7.4,有效提高了运算效率。

The parallel method was presented for enhancing data processing efficiency of vibration environment for airborne equipment. Under the memory hierarchy of the SMP cluster and base on parallel Welch method, Paral- lel analysis of vibration data processing model was completed. In addition, Some critical factors affecting the parallel performance such as parallel I/O, load balance were discussed and the corresponding solutions were proposed. Implement the algorithm by the way of MPI/OpenMP hybrid parallel ultimately. The Test shows that a highest speedup of 7.4 in 12 cores can be archived. Therefore algorithms can improve operation efficiency greatly.