Paper Info
Title
Parallel CAE System for Large Scale Problems Based on Computer Network
Abstract
We have been developing an advanced general-purpose computational mechanics system, named ADVENTURE, which is designed to be able to analyze a three dimensional finite element model of arbitrary shape over 100 million Degrees Of Freedom (DOF) mesh. The one of main process modules for solid analysis, named ADVENTURE Solid, is based on the hierarchical domain decomposition parallel algorithm and employs the balancing domain decomposition as a solution technique for linearized equations. The ADVENTURE Solid has been successfully implemented on a single PC, PC clusters and MPPs with high parallel performances. Since the software has become a quite large system, it is not easy to install or operate the system on parallel machines by users. To solve this issue, in this paper, the main system including solver part is operated on the remote server like a cloud computing and to operate such a system from a client PC through the network, the Web-based CAE system is presented. As a large scale analysis, one model of 10 Million DOF is performed.
Year
DOI
Venue
2010
10.1109/BWCCA.2010.49
BWCCA
Keywords
Field
DocType
adventure solid,main system,computer network,pc cluster,client pc,large scale,large system,parallel cae system,web-based cae system,high parallel performance,parallel machine,hierarchical domain decomposition parallel,single pc,finite element model,adventure,domain decomposition,fem,cloud computing,computational modeling,computational mechanics,parallel computing,solid modeling,linear equations,finite element analysis,parallel computer,internet,servers,balancing domain decomposition,three dimensional,web based application,degree of freedom,parallel algorithm,web based applications,parallel algorithms,computer networks,finite element methods
Computer-aided engineering,Parallel algorithm,Computer science,Computer network,Balancing domain decomposition method,Solid modeling,Solver,Computational mechanics,Domain decomposition methods,Cloud computing,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Ryuji Shioya101.69
Masao Ogino213.42
Hiroshi Kawai312.08