计算机科学 ›› 2010, Vol. 37 ›› Issue (3): 242-244270.

• 人工智能 • 上一篇    下一篇

求解带状线性方程组的一种并行算法

段治健,杨永,马欣荣,刘三阳   

  1. (西北工业大学翼型叶栅空气动力学国防科技重点实验室 西安710072);(西安电子科技大学理学院应用数学系 西安710071);(咸阳师范学院数学与信息科学学院 咸阳712000)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受咸阳师范学院重点建设课程项目基金(No. 200812014)资助。

Parallel Algorithm for Solving Banded Linear Systems

DUAN Zhi-jian,YANG Yong,MA Xin-rong,LIU San-yang   

  • Online:2018-12-01 Published:2018-12-01

摘要: 提出了一种在MIMI)分布式存储环境下求解带状线性方程组的交替方向迭代并行算法。利用系数矩阵的结构特点分裂矩阵,使整个计算过程只在相部处理机间通信两次。给出了系数矩阵分别为Hermite正定矩阵和协矩阵时算法收敛的充分条件。最后,在HP rx2600集群系统上进行的数值计算表明,该算法与多分裂方法相比具有较高的加速比和并行效率。

关键词: 带状线性方程组,交替方向迭代,HP rx2600集群,并行性

Abstract: The work presented in this paper focused on alternating-direction parallel iterative method for solving banded-linear systems on distributed-memory multi-computers. Firstly, the matrix was splitted by using the feature of the coefficient matrix, thus the communication only need twice between the adjacent processors per iteration step. Furthermore, the sufficient conditions for convergence were given when the coefficient matrix A is a Hermite positive definite matrix or Mmatrix respectively. Finally, the numerical experiments implemented on HP rx2600 cluster indicate that the algorithm's parallel acceleration rates and efficiency are higher than the multi-splitting method's.

Key words: Banded linear systems, Alternating-direction iteration, HP rx2600 cluster, Parallelism

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