求解线性方程组的顺序算法和并行算法的理论时耗估价

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The Theoretical Cost of Sequential and Parallel Algorithms for Solving Linear System of Equations

摘要: 本文讨论了求解密集型线性方程组的两种并行算法。这两种算法都在下上单元(LU)分解。法的基础上使用了前向和后向置换进行的。这些算法在数值上是稳定的,并在顺序平衡机上用各种处理程序进行试验,都得到良好效果。
- 下上单元(LU)分解法 /
- 前向和后向置换 /
- 多指令多数据程序(MIMD程序) /
- 多任务 /
- 理论时耗估价
Abstract: In this paper two parallel algorithms for solving dense linear equations arediscussed. The algorithms are based on LU-decomposition followed by forward andbackward substitutions. The algorithms are numerically stable and have been testedon the Sequent Balance Machine with efficient utilization of all processors.
- LU decomposition /
- forward and backward substitutions /
- MIMD machine /
- multi-tasking /
- theoretical cost

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