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A Parallel Implementation for Finding the Longest Common Subsequence

机译:寻找最长的常见子序列的并行实现

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Searching for the Longest Common Subsequence (LCS for short) is one of the most fundamental tasks in bioinformatics. In this paper, we present a parallel implementation of the LCS computation for heterogeneous master-worker platforms. It is the first parallel implementation on cluster environment for this problem. We also report a set of numerical experiments on a heterogeneous platform where computational resources have different computing powers. Also, the workers are connected to the master by communication links of same capacities. The obtained experimental results demonstrate the proposed parallel implementation is efficient with low communication overhead.
机译:搜索最长的常见子序列(简短的LCS)是生物信息学中最基本的任务之一。在本文中,我们展示了异构主工作人员平台的LCS计算的并行实现。它是此问题的群集环境中的第一个并行实现。我们还报告了一组关于异构平台的数值实验,其中计算资源具有不同的计算能力。此外,工人通过相同容量的通信链路连接到主机。所获得的实验结果表明所提出的并行实现具有低通信开销的有效。

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