A PARALLEL FINITE-ELEMENT METHOD WITH A SUPERCOMPUTER NETWORK

Citation
G. Yagawa et al., A PARALLEL FINITE-ELEMENT METHOD WITH A SUPERCOMPUTER NETWORK, Computers & structures, 47(3), 1993, pp. 407-418
Citations number
46
Categorie Soggetti
Computer Sciences","Computer Application, Chemistry & Engineering",Engineering,"Computer Applications & Cybernetics
Journal title
ISSN journal
00457949
Volume
47
Issue
3
Year of publication
1993
Pages
407 - 418
Database
ISI
SICI code
0045-7949(1993)47:3<407:APFMWA>2.0.ZU;2-L
Abstract
Computer simulations are about to replace experiments in various field s, and the scale of the models to be simulated tend to be extremely la rge. To perform large-scale finite element analyses, the authors propo se the parallel use of multiple supercomputers connected to one anothe r through a high-speed network. In other words, a supercomputer networ k is regarded as a parallel computer. As a parallel numerical algorith m for the finite element analysis, we adopt the domain decomposition m ethod (DDM) combined with an iterative solver, i.e. the conjugate grad ient (CG) method, where a whole analysis domain is fictitiously divide d into a number of subdomains without overlapping. Finite element anal yses of the subdomains are performed under the constraint of both disp lacement continuity and force equivalence among subdomains. Such a con straint can be satisfied through iterative calculations such as the CG method. The present DDM-based parallel finite element algorithm is co mbined with the server-client model for data and processor management to have the workload balanced dynamically between the processors, and is implemented first on an engineering workstation (EWS) network and t hen on a supercomputer network. The accuracy and parallel performance of the present system are tested using the network composed of various EWSs. Finally, it is demonstrated that the present system implemented on the supercomputer network can solve the three-dimensional elastici ty problem of over one million degrees of freedom at an extremely high average speed of 1.74 GFLOPS.