### Abstract

In this paper, shared-memory parallel implementations of a finite element formulation for unsteady interior flows with fluid-structure interactions are presented. The parallel computing platforms targeted are the CRAY C90, the Silicon Graphics (SGI) ONYX and the SGI Power Challenge. The formulation is based on the stabilized space-time finite element method developed earlier for a more general class of flow problems involving moving boundaries and interfaces. The specific test problem used in the performance evaluations involves fluid-structure interactions between a barotropic working fluid and one of the two pistons surrounding this fluid. We demonstrate that advanced formulations applicable to complex problems can be implemented in a parallel computing environment without resulting in a significant distraction from the scientific objectives of solving such complex problems.

Original language | English |
---|---|

Pages (from-to) | 1279-1292 |

Number of pages | 14 |

Journal | Parallel Computing |

Volume | 23 |

Issue number | 9 |

Publication status | Published - 1997 Sep |

Externally published | Yes |

### Fingerprint

### Keywords

- Finite elements
- Fluid-structure interactions
- Interior flows
- Shared-memory multiprocessors

### ASJC Scopus subject areas

- Theoretical Computer Science
- Software
- Hardware and Architecture
- Computer Networks and Communications
- Computer Graphics and Computer-Aided Design
- Artificial Intelligence

### Cite this

*Parallel Computing*,

*23*(9), 1279-1292.

**Parallel implementations of a finite element formulation for fluid-structure interactions in interior flows.** / Ray, S. E.; Wren, G. P.; Tezduyar, Tayfun E.

Research output: Contribution to journal › Article

*Parallel Computing*, vol. 23, no. 9, pp. 1279-1292.

}

TY - JOUR

T1 - Parallel implementations of a finite element formulation for fluid-structure interactions in interior flows

AU - Ray, S. E.

AU - Wren, G. P.

AU - Tezduyar, Tayfun E.

PY - 1997/9

Y1 - 1997/9

N2 - In this paper, shared-memory parallel implementations of a finite element formulation for unsteady interior flows with fluid-structure interactions are presented. The parallel computing platforms targeted are the CRAY C90, the Silicon Graphics (SGI) ONYX and the SGI Power Challenge. The formulation is based on the stabilized space-time finite element method developed earlier for a more general class of flow problems involving moving boundaries and interfaces. The specific test problem used in the performance evaluations involves fluid-structure interactions between a barotropic working fluid and one of the two pistons surrounding this fluid. We demonstrate that advanced formulations applicable to complex problems can be implemented in a parallel computing environment without resulting in a significant distraction from the scientific objectives of solving such complex problems.

AB - In this paper, shared-memory parallel implementations of a finite element formulation for unsteady interior flows with fluid-structure interactions are presented. The parallel computing platforms targeted are the CRAY C90, the Silicon Graphics (SGI) ONYX and the SGI Power Challenge. The formulation is based on the stabilized space-time finite element method developed earlier for a more general class of flow problems involving moving boundaries and interfaces. The specific test problem used in the performance evaluations involves fluid-structure interactions between a barotropic working fluid and one of the two pistons surrounding this fluid. We demonstrate that advanced formulations applicable to complex problems can be implemented in a parallel computing environment without resulting in a significant distraction from the scientific objectives of solving such complex problems.

KW - Finite elements

KW - Fluid-structure interactions

KW - Interior flows

KW - Shared-memory multiprocessors

UR - http://www.scopus.com/inward/record.url?scp=0031220568&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031220568&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0031220568

VL - 23

SP - 1279

EP - 1292

JO - Parallel Computing

JF - Parallel Computing

SN - 0167-8191

IS - 9

ER -