并行PCG算法在电法勘探中的应用研究  

Research on Application of Parallel PCG Algorithm in Electrical Surveying

作　　者：陈荣征[1] 李代平[1] 黄健[1] 

机构地区：[1]广东工业大学计算机学院,广州510006

出　　处：《微计算机信息》2007年第04X期267-269,共3页Control & Automation

基　　金：广西自然科学基金资助项目(桂科自0229009)

摘　　要：采用有限元法进行电法勘探时,会产生大型稀疏线性方程组,如何提高方程组的求解效率成为物探研究的关键。针对传统直接法难以实现并行求解的缺点,提出了在Beowulf集群环境下,采用并行PCG算法求解物探系统线性方程组。在集群环境下,该算法具有机器间相互通讯少、时间复杂度低等优点,并且易于并行实现。实验结果表明,采用PCG算法获得了良好的并行效果。The sparse sets of linear equations are produced in electrical surveying using finite element method,how to raise the efficiency of the solution of equations is the key to Object-probed.In order to overcome the demerit that traditional direct method is difficult to paraUelize, PCG algorithm based on Beowulf cluster is put forward to solve linear equations.The algorithm has the merits of less communication , lower time complexity and parallel implementation is ＂also very＂ easy under the environment of Beowulf Cluster. Experimental results show that good parallel results have been obtained using the algorithm.

关 键 词：有限元法 BEOWULF集群 预处理共轭梯度法 并行虚拟机 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]