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Adaptive finite element analysis on a parallel and distributed environment

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TLDR
A user-friendly environment for Parallel Distributed computing which is portable on top of both Parallel Virtual Machine (PVM) and Message Passing Interface (MPI) message passing layers is developed and addressed the issues of the several stages in AFEA from a parallel computing perspective.
Abstract
Industries in general and automotive industries in particular, use Finite Element Analysis (FEA) for better solutions to the engineering problems they encounter. The reliability of the Finite Element method can be improved to a larger extent by Adaptive Finite Element Analysis (AFEA). As we look towards increasingly accurate solutions, the process becomes computationally intensive and requires parallel and economic high-performance scientific computing environments to solve them. In this paper we present a parallel implementation of AFEA on a cluster of workstations and illustrate its efficiency and scalability with examples. In this process, we have developed a user-friendly environment for Parallel Distributed computing which is portable on top of both Parallel Virtual Machine (PVM) and Message Passing Interface (MPI) message passing layers. We have addressed the issues of the several stages in AFEA from a parallel computing perspective that includes Domain decomposition, Parallel Mesh generation, Parallel Finite Element Analysis using a Substructuring technique and Load balancing.

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Citations
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Journal ArticleDOI

Error estimates and adaptive finite element methods: A bibliography (1990‐2000)

TL;DR: Gives a bibliographical review of the error estimates and adaptive finite element methods from the theoretical as well as the application point of view.
Journal ArticleDOI

Multilayered grouping parallel algorithm for multiple-level multiscale analyses

TL;DR: It is shown that the unique data transfer rates of the symmetric multiprocessor cluster system can lead to the seemingly ‘super‐linear speedup’ and that there appears to exist the optimal number of subgroups of three‐tiered multiscale analysis.
Journal ArticleDOI

High performance computing simulations to identify process parameter designs for profitable titanium machining

TL;DR: This study showed the feasibility of integrating and automating a HPC loop involving the generation of suitable design of experiments (DOE), creating simulation jobs, deploying/executing it on aHPC cluster, and scripting outputs in a useful format.
Journal ArticleDOI

FEM and BEM parallel processing: theory and applications – a bibliography (1996‐2002)

TL;DR: The bibliography at the end of this paper contains 850 references to papers, conference proceedings and theses/dissertations dealing with presented subjects that were published between 1996 and 2002.
Journal ArticleDOI

Parallel and distributed processing for h-p adaptive finite-element analysis: a comparison of simulated and empirical studies

TL;DR: Practical parallel processing efficiency results, computed for Sun E450 and v880 parallel workstation platforms (four processors each), are reported.
References
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Journal ArticleDOI

A simple error estimator and adaptive procedure for practical engineerng analysis

TL;DR: A new error estimator is presented which is not only reasonably accurate but whose evaluation is computationally so simple that it can be readily implemented in existing finite element codes.
Journal ArticleDOI

A case for NOW (Networks of Workstations)

TL;DR: The 100-node NOW prototype aims to demonstrate practical solutions to the challenges of efficient communication hardware and software, global coordination of multiple workstation operating systems, and enterprise-scale network file systems.

A User''s Guide to PVM Parallel Virtual Machine

TL;DR: This report is the PVM version 2.3 users'' guide, which contains an overview of PVM and how it is installed and used.
Journal ArticleDOI

Automatic partitioning of unstructured meshes for the parallel solution of problems in computational mechanics

TL;DR: A family of cost-effective algorithms for the automatic partitioning of arbitrary two- and three-dimensional finite element and finite difference meshes is presented and discussed in view of a domain decomposed solution procedure and parallel processing.
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