
PHG (Parallel Hierarchical Grid) - C), C
PHG (Parallel Hierarchical Grid) 是科学与工程计算国家重点实验室正在发展的专门为三维自适应有限元设计的并行程序开发平台,其核心是分布式的层次网格结构。目前,PHG 处理的网格对象是三维四面体协调网格。
PHG (Parallel Hierarchical Grid) - C), C
PHG is a toolbox for developing parallel adaptive finite element programs. PHG is currently under active development at State Key Laboratory of Scientific and Engineering Computing of Chinese Academy of Sciences. PHG deals with conforming tetrahedral meshes and uses bisection for adaptive local mesh refinement and MPI for message passing.
PHG. ParallelHierarchicalGrid is a toolbox for writing scalable parallel adaptive finite element programs. PHG. provides functions which perform common and difficult tasks in parallel adaptive finite element pro-grams, such as: management of unstructured parallel (distributed) meshes, parallel adaptive mesh refinement and coarsening,
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PHG(Parallel Hierarchical Grid)是我们自主设计的一个基于网格二分细 化适合大规模分布式存储并行计算机的三维并行自适应有限元软件平台。 支持自适应有限元算法研究
PHG (Parallel Hierarchical Grid) - 下载 - C), C
PHG-Solid is an open source parallel adaptive FEM software for 3D structural analysis. It is based on the 3D parallel adaptive finite element toolbox PHG. It features parallel adaptive finite element analysis for pure 3D structures.
PHG (Parallel Hierarchical Grid) - 文档 - C), C
tar xjpvf phg-xxx.tar.bz2 2. 生成 Makefile ./configure 3. 编译 make 4. 安装 (可选) make install 5. 安装文档 (可选) make install-doc 具体请参看文件 INSTALL 中的说明. 注:hypre-2.0.0 的 AMS 预条件子有几个小 bug, 可使用这里的补丁文件。
phg 是“科学与工程计算国家重点实验室”发展的一个三维并行自适应有限元软件开发平台,并 且得到了下述项目的支持: • 国家 973 项目“大规模科学计算研究”第二课题组
文介绍phg 平台的主要模块和核心算法, 以及基于 phg 平台开发的一些并行有限元应用程序, 它 们包括: 大型变压器铁损模拟, 离子通道中的离子输运过程模拟, 集成电路互连线寄生参数提取, 冰 盖模拟, 弹性波pml 方程谱元计算等.
为了支持任意初始网格的细化,phg 使用 5 种单元类型,分别称为O (opposite)、M (mixed)、D (diagonal, 对应于 ALBERTA 的 type 0)、F (face, 对应于 ALBERTA 的 type 1) 和 E (edge, 对应于 ALBERTA 的 type 2)。
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PHG - lsec.cc.ac.cn
distribute the max-min values in the auxiliary vector to the element object of PHG. In this way, we can realize the MPI communication automatically through the neighbour interface of PHG. Finally, we show that the MLP limiter can obtain expected accuracy and superior resolution, and the solver can attain 60 % parallel efficiency on 1024 cores.