B.A. Izzuddin, Gul Ahmed Jokhio · Journal of Computing in Civil Engineering · 2016
This paper presents a novel mixed-dimensional coupling method for parallel partitioned analysis, allowing efficient nonlinear structural analysis with selective deployment of differently dimensioned elements. With this method, a structural domain is decomposed into partitions that are processed in parallel using a recently developed dual super-element partitioning approach. Individual partitions consist exclusively of reduced dimensioned (1D) or higher dimensioned (3D continuum) elements, and coupling between 1D and 3D partitions is introduced at the boundary of 3D partitions, enabling a reduction in the communication overhead. Several examples are provided to verify the proposed approach and demonstrate its benefits for nonlinear structural analysis.
Cited by 13
Chaojiang Fu · 2008
Parallel computing has become a promising trend in science and engineering computing. In this paper, parallel finite element method using domain decomposition technique is adapted to a distributed parallel environment of workstation cluster. The algorithm is presented for solving the conjugate gradient method on a parallel platform with element based domain decomposition. Using the developed code, a dam structural analysis problem is solved on workstation cluster and results are given. The parallel performance is analyzed.
Cited by 4
Wohlmuth, Barbara · OPUS (Augsburg University) · 1998
Cited by 0
Gul Ahmed Jokhio, B.A. Izzuddin · International Journal for Computational Methods in Engineering Science and Mechanics · 2015
This article presents a new domain decomposition method for nonlinear finite element analysis introducing the concept of dual partition super-elements. The method extends ideas from the displacement frame method and is ideally suited for parallel nonlinear static/dynamic analysis of structural systems. In the new method, domain decomposition is realized by replacing one or more subdomains in a “parent system,” each with a placeholder super-element, where the subdomains are processed separately as “child partitions,” each wrapped by a dual super-element along the partition boundary. The analysis of the overall system, including the satisfaction of equilibrium and compatibility at all partition boundaries, is realized through direct communication between all pairs of placeholder and dual super-elements. The proposed method has particular advantages for matrix solution methods based on the frontal scheme, and can be readily implemented for existing finite element analysis programs to achieve parallelization on distributed memory systems with minimal intervention, thus overcoming memory bottlenecks typically faced in the analysis of large-scale problems. Several examples are presented in this article which demonstrate the computational benefits of the proposed parallel domain decomposition approach and its applicability to the nonlinear structural analysis of realistic structural systems.
Cited by 34
Masao Ogino, Ryuji Shioya, Hiroshi Kanayama et al. · Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu · 2002
Cited by 0Open access
Lie‐Quan Lee, Zenghai Li, Cho Ng et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2009
Omega3P is a parallel eigenmode calculation code for accelerator cavities in frequency domain analysis using finite-element methods. In this report, we will present detailed finite-element formulations and resulting eigenvalue problems for lossless cavities, cavities with lossy materials, cavities with imperfectly conducting surfaces, and cavities with waveguide coupling. We will discuss the parallel algorithms for solving those eigenvalue problems and demonstrate modeling of accelerator cavities through different examples.
Cited by 34Open access
Chang, T. L. · Zenodo (CERN European Organization for Nuclear Research) · 2022
🧮 suanPan is a finite element method (FEM) simulation platform for applications in fields such as solid mechanics and civil/structural/seismic engineering. The name suanPan (in some places such as suffix it is also abbreviated as suPan) comes from the term Suan Pan (算盤), which is Chinese abacus. suanPan is written in modern high quality C++ code and is targeted to provide an efficient, concise, flexible and reliable FEM simulation platform. Please refer to the repository for more information. https://github.com/TLCFEM/suanPan
Cited by 0Open access
Chang, T. L. · Zenodo (CERN European Organization for Nuclear Research) · 2025
🧮 suanPan is a finite element method (FEM) simulation platform for applications in fields such as solid mechanics and civil/structural/seismic engineering. suanPan is written in modern high quality C++ code and is targeted to provide an efficient, concise, flexible and reliable FEM simulation platform. Please refer to the repository for more information. https://github.com/TLCFEM/suanPan
Cited by 0Open access
Chang, Theodore · Zenodo (CERN European Organization for Nuclear Research) · 2023
🧮 An Open Source, Parallel and Heterogeneous Finite Element Analysis Framework
Cited by 0Open access
Chang, Theodore · Zenodo (CERN European Organization for Nuclear Research) · 2023
🧮 An Open Source, Parallel and Heterogeneous Finite Element Analysis Framework
Cited by 0Open access
Chang, Theodore · Zenodo (CERN European Organization for Nuclear Research) · 2023
🧮 An Open Source, Parallel and Heterogeneous Finite Element Analysis Framework
Cited by 0Open access
Chang, T. L. · Zenodo (CERN European Organization for Nuclear Research) · 2023
🧮 suanPan is a finite element method (FEM) simulation platform for applications in fields such as solid mechanics and civil/structural/seismic engineering. The name suanPan (in some places such as suffix it is also abbreviated as suPan) comes from the term Suan Pan (算盤), which is Chinese abacus. suanPan is written in modern high quality C++ code and is targeted to provide an efficient, concise, flexible and reliable FEM simulation platform. Please refer to the repository for more information. https://github.com/TLCFEM/suanPan
Cited by 0Open access
Chinchalkar And, S. Chinchalkar, T. F. Coleman · 2008
This paper presents parallel 3-D finite element analysis for distributed memory multiprocessors. Traditionally, finite element analysis has been performed on sequential computers. Current research in high performance finite element analysis shows considerable promise for fast, efficient implementation on MIMD and SIMD computers [Farhat 87a], [Johnsson 90]. The finite element system of equations can be solved by a direct method, or by an iterative method [Carter 89]. Although iterative methods are attractive when a good initial estimate of the solution is available, direct methods are generally preferred because once the coefficient matrix (global stiffness matrix) is factored, solution to multiple load cases and sensitivity analysis becomes considerably simpler. Several researchers have used the substructuring method for parallel finite element analysis on hypercubes [Adams 84], [Farhat 87b], [Carey 86]. It is described only briefly here; refer to [Adams 84] for details. In this method, the structural domain is decomposed into several subdomains (substructures), one for each processor. Nodes that are common to more than one subdomain form the `interface'. The resulting global stiffness matrix has an `arrowhead' pattern, with diagonal blocks corresponding to each substructure and the interface, and off-diagonal blocks coupling each substructure with the interface. Each processor assembles the element stiffness matrices for its substructure. Each processor then factorizes independently, one diagonal block and updates the interface block. All processors, in parallel, solve a system of equations corresponding to the interface block. Subsequently, the processors recover the displacement solution for their substructure, independently. While the substructuring method appears t...
Cited by 0
E. Barragy, Graham F. Carey, R.A. Vandegeijn · Journal of Parallel and Distributed Computing · 1994
Cited by 16
Shirish Chinchalkar, Thomas F. Coleman · eCommons (Cornell University) · 1991
This paper presents parallel 3-D finite element analysis for distributed memory multiprocessors. Traditionally, finite element analysis has been performed on sequential computers. Current research in high performance finite element analysis shows considerable promise for fast, efficient implementation on MIMD and SIMD computers. This paper demonstrates the use of a standard, banded Cholesky method for solving the finite element system of equations. The uniformity of the underlying data distribution ensures high performance due to load balance. Moreover, since a distributed banded Cholesky algorithm is likely to a part of a standard parallel numerical library, it reduces the burden on the applications programmer, making this method simpler to implement than the substructuring method. Since a parallel solver requires the rows of the coefficient matrix to be distributed in a wrap fashion, it might appear that the assembly of the element stiffness matrices would not be efficient. However, as shown in this paper, the calculation of element stiffness matrices, assembly and the calculation of Gauss-point stresses can be done efficiently in parallel without any inter-processor communication. In fact, once nodal coordinates and element connectivity is made available to all processors, message passing is required only during the factorization and solution stages. The next few sections describe how parallelism was exploited during the assembly, solution and stress recovery strages of the finite element analysis. The parallel program developed was tested on large 3-D finite element problems arising from biomechanical structural systems, on an Ncube 6400. High performance Basic Linear Algebra Subprograms (BLAS) were used to improve the execution speed.
Cited by 1Open access
Wang Fujun, Y.T. Feng, D. R. J. Owen et al. · Acta Mechanica Sinica · 2004
Cited by 6
Journal of Xidian University · 2020
Cited by 0
Chang, Theodore · Zenodo (CERN European Organization for Nuclear Research) · 2023
🧮 An Open Source, Parallel and Heterogeneous Finite Element Analysis Framework
Cited by 0Open access
Masae Muraoka, Hiroshi Okuda · Medical Entomology and Zoology · 2007
With the rapid growth of WAN infrastructure and development of Grid middleware, it's become a realistic and attractive methodology to connect cluster machines on wide-area network for the execution of computation-demanding applications. Many existing parallel finite element (FE) applications have been, however, designed and developed with a single computing resource in mind, since such applications require frequent synchronization and communication among processes. There have been few FE applications that can exploit the distributed environment so far. In this study, we explore the feasibility of FE applications on the cluster-of-clusters. First, we classify FE applications into two types, tightly coupled applications (TCA) and loosely coupled applications (LCA) based on their communication pattern. A prototype of each application is implemented on the cluster-of-clusters. We perform numerical experiments executing TCA and LCA on both the cluster-of-clusters and a single cluster. Thorough these experiments, by comparing the performances and communication cost in each case, we evaluate the feasibility of FEA on the cluster-of-clusters.
Cited by 0
Chang, T. L. · Zenodo (CERN European Organization for Nuclear Research) · 2022
🧮 suanPan is a finite element method (FEM) simulation platform for applications in fields such as solid mechanics and civil/structural/seismic engineering. The name suanPan (in some places such as suffix it is also abbreviated as suPan) comes from the term Suan Pan (算盤), which is Chinese abacus. suanPan is written in modern high quality C++ code and is targeted to provide an efficient, concise, flexible and reliable FEM simulation platform. Please refer to the repository for more information. https://github.com/TLCFEM/suanPan
Cited by 0Open access