计算力学学报2017，Vol.34Issue(2)：197-205,9.DOI:10.7511/jslx201702011
云环境下的大规模线性有限元并行实现
Parallel implement of large-scale linear elastic FEM in cloud computing environment
摘要
Abstract
Considering the fact that iterative algorithm cannot be realized efficiently on Hadoop MapReduce platform,this paper proposed a large-scale finite-element parallel algorithm based on the Resilient Distributed Datasets on the Spark platform in order to explore how to implement iterative algorithm efficiently.The proposed algorithm was then verified using the space truss model on a 6-node Hadoop+Spark platform.Comparisons were made between a performance of Spark-based algorithms and Hadoop-based algorithms of linear elastic FEM.The results indicate that the number of the DOFs of the space truss problem that can be solved by the Spark-based parallel algorithm may reach 15000000,which is much more than that solved by the Hadoop-based parallel algorithm.Obviously,the Spark-based parallel algorithm is preferable.Moreover,the proposed algorithm exhibits an enhanced computing efficiency compared with the Hadoop-based parallel algorithm.Specifically,for a small-scale space truss model,the speed-up ratio reaches 200 while for a large-scale space truss model,it is approximately 7 or 8.关键词
云计算/Spark RDDs/线性有限元/空间桁架/并行计算Key words
cloud computing/Spark RDDs/linear finite element method/spatial truss systems/parallel computing分类
信息技术与安全科学引用本文复制引用
林海铭,刘小虎..云环境下的大规模线性有限元并行实现[J].计算力学学报,2017,34(2):197-205,9.基金项目
国家自然科学基金(11172110)资助项目. （11172110）
