Study on Massively Parallel Computational Mechanics

大规模并行计算力学研究

• 批准号: 07044123
• 负责人: YAGAWA Genki
• 金额: $ 2.62万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for international Scientific Research
• 财政年份: 1995
• 资助国家: 日本
• 起止时间: 1995 至 无数据
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07044123/
• 关键词: Massively Parallel; Computational Structural Mechanics; Computational Fluid Dynamics; Computer Network; Neural Network; Evolutional Algorithm

For overcoming the limitation of the computational power by the vector-pipeline, shared memory-type supercomuputer, trend in the supercomputer development is towards the massively parallel platform with the distributed memory. This study aims at the high-performance computing, which can make the best use of the massively parallel processors. Research subjects consist of two approaches ; one is to apply the conventional and/or currently available software to the massively parallel environments and to attain the high scalability, and the other is to develop the innovative algorithms, which are suitable for the massively parallel platform.First, in the CFD (Computational Fluid Dynamics) area, a CFD code, which is constructed on an EBE (Element-by-Element) basis, is ported to KSR1 or T3D.The inherent parallelism of the EBE code was observed. Also, an unstructured multi-color method is proposed, and implemented in the neural network solver with the feedback mechanism. The neuro-solver is us … More ed to solve the Poisson's equation for pressure.Secondly, a meshless method is proposed, which needs only nodal data for computations, and hence avoids burdensome mesh generation process. Comparing with the conventional FEM,which utilizes the Delaunay triangulation, its accuracy and efficiency are investigated. The applicability of the meshless method to the massively parallel platform is also examined. The meshless method is furthermore enhanced to realize the adaptive analysis and the fluid analysis, both of which can take good advantage of the meshless nature. As another type of meshless method, a parallel cooperationtype type FEM is proposed. Incorporating the idea of the artificial life, i.e.agent, cooperationtype type automatic mesh generation is realized.Finally, the evolutional algorithm in the continuum space search is proposed, and is applied to an inverse problem, i.e.the parameter identification for constitutive equations. Parallel nature of the evolutional algorithm is also investigated. Less

为了克服矢量彼里（Vector-Pipeline）对计算功率的限制，共享内存类型超级计算机，超级计算机开发的趋势是朝着具有分布式内存的巨大平行平台。这项研究的目的是高性能计算，可以充分利用大量并行处理器。研究对象包括两种方法；一种是将常规和/或当前可用的软件应用于大规模平行的环境并达到高可伸缩性，另一个是开发适用于非常平行平台的创新算法。首先，在CFD（计算流体动力学）区域中，该区域是CFD代码，该代码是在EBE（ebe）上构建的，该代码是（ebe）（emby eTrect），或者是eTby（emby-ext）。观察到EBE代码的并行性。同样，提出了一种非结构化的多色方法，并在神经网络求解器中实现了反馈机制。神经溶剂是我们……更努力解决泊松方程的压力。其次，提出了一种无网格方法，该方法仅需要淋巴结数据进行计算，因此避免了燃烧的网格生成过程。与使用Delaunay三角剖分的常规FEM相比，研究了其准确性和效率。还检查了无网格方法对大规模并行平台的适用性。此外，无网格方法得到了增强，以实现自适应分析和流体分析，这两者都可以很好地利用无网状性质。作为另一种类型的无网络方法，提出了平行合作类型的类型FEM。将人工生命的概念（即，合作类型类型的自动网格产生）结合在一起。在本文中，提出了连续空间搜索中的进化算法，并将其应用于逆问题，即组成型方程的参数识别。还研究了进化算法的平行性质。较少的

项目成果

Genki YAGAWA,Tomonori YAMADA and Hiroshi KAWAI: "Some Remarks on Free Mesh Method : A Kind of Meshless Finite Element Method" Proc.ICES'95. 2. 1572-1578 (1995)

Genki YAGAWA、Tomonori YAMADA 和 Hiroshi KAWAI：“关于自由网格法的一些评论：一种无网格有限元法”Proc.ICES95。

T.Furukawa and G.Yagawa: "Genetic Algorithms for Continuous Search Space and their Application to Inverse Problems" Transactions of JSME. No.94-1860. 265-271 (1995)

T.Furukawa 和 G.Yakawa：“连续搜索空间的遗传算法及其在反问题中的应用”JSME 交易。

Y.Kanto and A.A.A.Azim,: "A Simple method to generate nodes for FE modeling," Proc.of ICES'95,. Vol.1. 338-343 (1995)

Y.Kanto 和 A.A.A.Azim，：“一种为 FE 建模生成节点的简单方法”，Proc.of ICES95。

Y.Kanto and A.A.A.Azim: "A Simple Method to Generate Nodes for FE Modeling" Proc.ICES'95, Vol.1. 1. 338-343 (1995)

Y.Kanto 和 A.A.A.Azim：“一种为 FE 建模生成节点的简单方法”Proc.ICES95，第 1 卷。

H.Okuda, Y.Nakabayashi and G.Yagawa: "Control of Accuracy and Storage Requirements of Data-parallel Finite Elements Fluid Analysis" Proc.9th JSCFD Symp.77-78 (1995)

H.Okuda、Y.Nakabayashi 和 G.Yakawa：“数据并行有限元流体分析的精度和存储要求的控制”Proc.9th JSCFD Symp.77-78 (1995)