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Large scale finite element analysis using GPU parallel computing.

机译:使用GPU并行计算的大规模有限元分析。

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摘要

In the past years, graphic processing units have become a new abundant parallel computing resource on personal computers. In this work parallel computation of a typical case in finite element analysis for solids has been practiced. The solution of 3-D linear elastic static problems with 3 degree of freedom is fully implemented utilizing the current GPU technology. Discretization of the problem has been done for two cases of: Tetrahedral and Hexahedral elements. Acceleration of the solution has been realized using SIMT parallel algorithms. Sparse matrix storage formats as well as matrix-vector operations are investigated for optimum hardware utilization. Preconditioned conjugate gradient method has been fully implemented on the GPU device as the iterative solver. FEA GPU implementation is compared with the corresponding optimized serial version run on a conventional processor with the same technology for various mesh sizes, sparse matrix storage schemes, and choice of basis function.
机译:在过去的几年中,图形处理单元已经成为个人计算机上一种新的丰富的并行计算资源。在这项工作中,已经对固体有限元分析中典型案例的并行计算进行了实践。利用当前的GPU技术完全实现了具有3个自由度的3-D线性弹性静态问题的解决方案。对于以下两种情况,已经对该问题进行了离散化处理:四面体和六面体元素。解决方案的加速已使用SIMT并行算法实现。研究了稀疏矩阵存储格式以及矩阵向量运算,以优化硬件利用率。预处理共轭梯度法已在GPU设备上完全实现为迭代求解器。将FEA GPU的实现与在具有相同技术的常规处理器上运行的,经过优化的串行版本进行比较,该技术适用于各种网格大小,稀疏矩阵存储方案和基本功能选择。

著录项

  • 作者

    Akbariyeh, Ashkan.;

  • 作者单位

    The University of Texas at Arlington.;

  • 授予单位 The University of Texas at Arlington.;
  • 学科 Engineering Mechanical.;Computer Science.
  • 学位 M.S.
  • 年度 2012
  • 页码 65 p.
  • 总页数 65
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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