• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (11): 126-128.

• 论文 • 上一篇    下一篇

基于分群策略的机群系统上Motif发现并行算法

李锦 钟诚 卿海军   

  • 出版日期:2008-11-01 发布日期:2010-05-19

  • Online:2008-11-01 Published:2010-05-19

摘要:

Motif发现是生物信息学的一个重要研究问题。采用均匀分配后缀群策略、并行淘汰和归并方法,在机群系统上设计一种Motif发现并行投票算法。实验结果表明,在保证解精  度的前提下,该并行算法获得了良好的加速,执行效率达到95%以上。

关键词: Motif发现 机群系统 并行算法 生物信息学

Abstract:

Motif discovering is an important problem in bioinformatics. By distributing evenly the suffix groups to the processors and by applying the parallel filtering and merging techniques, a parallel voting algorithra for Motif discovering is presented for the cluster computing systems. The experimental results show that the algorithm obtains a good speedup and an plus execution efficiency over 95% on the precondition to guarantee the given solution precision.

Key words: Motif discovering, cluster computing system, parallel algorithm, bioinformatics