Research on optimization and parallelization of Optimal Binary Search Tree using Dynamic Programming
The classical algorithm uses Dynamic Programming to construct an Optimal Binary Search Tree.In this paper,we research into the dynamical process of building an Optimal Binary Search Tree and present an optimized solution.Time complexity is reduced from O (n3) to O (n2).Meanwhile,three feasible parallel solutions are put forward to achieve greater optimization.Some experiments on cluster have been done to compare efficiency of parallel and serial algorithm and the result shows that the parallel algorithm is much better.In the case of a larger amount of testing data,the parallel solution can save half of the time consumption.However,because of the particularity of this issue,the parallel algorithm has its own limitation.
Dynamic Programming Optimal Binary Search Tree optimization parallelization
Bo Han Yongquan Lu
High Performance Computing Center of Communication University of China,Beijing,China
国际会议
沈阳
英文
229-233
2012-09-26(万方平台首次上网日期,不代表论文的发表时间)