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基于Pipeline的一类动态规划并行算法
A CLASS OF PARALLEL DYNAMIC PROGRAMMING ALGORITHMS BASED ON PIPELINE ARCHITECTURES
【摘要】 动态规划是解决组合优化问题的有效方法之一.本文基于Pipline结构,提出并分析了三个相似的动态规划并行算法(求简单最短路径.求最长公共子串和解背包问题).获得了较理想的加速比、并行效率等指标.进而提出并讨论了这一类问题之动态规划并行处理的一般化思想及方法.
【Abstract】 Based on pipeline architectures, three similar parallel algorithms of dynamic programming for combinatorial problems (simple shortest path problem, longest common string problem and knapsack problem) are designed and analyzed in this paper. These algorithms achieve an optimal speed-up by using processor array.Furthermore, the general idea and methodology for designing the dynamic programming parallel algorithms based on pipeline architectures are presented and discussed.
【关键词】 Pipeline结构;
动态规划;
并行算法;
【Key words】 Pipeline architecture; dynamic programming; parallel algorithm.;
【Key words】 Pipeline architecture; dynamic programming; parallel algorithm.;
【基金】 吉通通信有限公司资助
- 【文献出处】 计算机学报 ,CHINESE JOURNAL OF COMPUTERS , 编辑部邮箱 ,1994年07期
- 【分类号】TP301.6
- 【被引频次】6
- 【下载频次】160