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Research on Homogeneous Cluster-based Hierarchical Nested String Matching Parallel Algorithm

机译:基于群集的基于分层嵌套字符串匹配的并行算法研究

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Research a master-slave duplex layer structure exact string matching parallel algorithm on the homogeneous PC cluster platform. Making use of the KMP main string mismatching irrelevant feature to construct secondary KR substring and then calculate the value of next function quickly. Using PC Cluster Message Passing Interface (MPI) parallel platforms and for the balanced load of each node processes which involved in computing, an anti-missing methods was proposed to do overlapped block with the target dictionary. The paralleled implementation process of hierarchical nested exact string matching algorithm was discussed in detail. The experiment demonstration is conducted on the homogeneous PC cluster platform, analyzing the parallel processing efficiency of data traffic on different levels under the condition of the intervention of multi nodes. Experimental results show that the algorithm has a high parallel efficiency and linear acceleration was obtained and has good scalability.
机译:研究主机双面层结构精确串联平行算法在同一性PC集群平台上。利用KMP主串不匹配无关的功能来构建辅助KR子字符串,然后快速计算下一个功能的值。使用PC群集消息传递接口(MPI)并行平台和用于计算计算的每个节点进程的平衡负载,提出了一种具有目标词典的重叠块的防丢失方法。详细讨论了分层嵌套精确串匹配算法的并行实现过程。实验演示在均匀的PC集群平台上进行,分析了在多节点干预条件下不同级别的数据流量的并行处理效率。实验结果表明,该算法具有高平行的效率和线性加速度,具有良好的可扩展性。

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