SIFFEA: Scalable integrated framework for finite element analysis

Xiangmin Jiao, Xiang Yang Li, Xiaosong Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

SIFFEA is an automated system for parallel finite element method (PFEM) with unstructured meshes on distributed memory machines. It synthesizes mesh generator, mesh partitioner, linear system assembler and solver, and adaptive mesh refiner. SIFFEA is an implicit parallel environment: The user need only specify the application model in serial semantics; all internal communications are transparent to the user. SIFFEA is designed based on the object-oriented philosophy, which enables easy extensibility, and a clear and simple user interface for PFEM.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages84-95
Number of pages12
Volume1732
ISBN (Print)3540668187, 9783540668183
Publication statusPublished - 1999
Externally publishedYes
Event3rd International Symposium on Computing in Object-Oriented Parallel Environments, ISCOPE 1999 - San Francisco, United States
Duration: 8 Dec 199910 Dec 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1732
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Symposium on Computing in Object-Oriented Parallel Environments, ISCOPE 1999
CountryUnited States
CitySan Francisco
Period8/12/9910/12/99

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Jiao, X., Li, X. Y., & Ma, X. (1999). SIFFEA: Scalable integrated framework for finite element analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1732, pp. 84-95). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1732). Springer Verlag.