超大规模并行计算方法发展及固体行为计算研究

报告题目： 超大规模并行计算方法发展及固体行为计算研究

报告人：清华大学 航空航天学院副院长  刘彬教授

时间：7月14日上午10：30-11：30

地点：力一楼239室

报告简介：
The parallel linear equations solver capable of effectively using 1000+ processors becomes the bottleneck of large-scale implicit engineering simulations. In this paper, we present a new hierarchical parallel master-slave-structural iterative algorithm for the solution of super large-scale sparse linear equations in distributed memory computer cluster. Through alternatively performing global equilibrium computation and local relaxation, the specific accuracy requirement can be met in a few of iterations. 
Moreover, each set/slave-processor majorly communicates with its nearest neighbors, and the transferring data between sets/slave-processors and the master-processor is always far below the communication between neighboring sets/slave-processors. The corresponding algorithm for implicit finite element analysis has been implemented based on MPI library, and a super large 2-dimension square system of triangle-lattice truss structure under randomly distributed loadings is simulated with over one billion degrees of freedom on up to 2001 processors of “Exploration 100” cluster in Tsinghua University. The numerical experiments demonstrate that this algorithm has  excellent parallel efficiency and high scalability, and it may have broad applications in other implicit simulations.

报告人简介：
刘彬，于1996 年获清华大学工程力学学士，机械制造学士（第二学位）；2001 年获清华大学固体力学工学博士；2001年－2004年美国伊利诺伊大学香槟分校（UIUC）博士后；2004年－2005年在德国马普协会金属所作洪堡研究员。2005年7月受聘于清华大学航天航空学院固体力学研究所（副研究员）。2009年晋升为教授。主要从事新型材料的理论和计算研究，特别是多尺度和多种物理作用下材料的计算研究，在国际期刊上共发表SCI论文75篇，英文书章3篇，SCI他引900余次。现为国际期刊《International Journal of Plasticity》和《Journal of Computational and Theoretical Nanoscience》及《力学学报》的编委，曾获国家自然科学二等奖1项（排名第三），2011年中国力学学会青年科技奖，教育部新世纪人才计划，德国洪堡奖学金。