Result: Finite element simulation of seismic elastic two dimensional wave propagation: Development and assessment of performance in a cluster of PCs with software DSM

Title:
Finite element simulation of seismic elastic two dimensional wave propagation: Development and assessment of performance in a cluster of PCs with software DSM
Source:
VECPAR 2002 : high performance computing for computational science (Porto, 26-28 June 2002, selected papers and invited talks)Lecture notes in computer science. :65-78
Publisher Information:
Berlin: Springer, 2003.
Publication Year:
2003
Physical Description:
print, 13 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Laboratório de Métodos Computacionais em Engenharia LAMCE/PEC/COPPE/UFRJ CP 68552, CEP 21949-900 Rio de Janeiro-RJ, Brazil
Laboratório de Computação Paralela - LCP/PESC/COPPE/UFRJ, Brazil
Departamento de Informática e Ciência da Computação - UERJ, Brazil
ISSN:
0302-9743
Rights:
Copyright 2003 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Physics: solid mechanics
Accession Number:
edscal.14934184
Database:
PASCAL Archive

Further Information

In this work we approach the seismic wave propagation problem in two dimensions using the finite element method (FEM). This kind of problem is essential to study the structure of the earth's interior and exploring petroleum reservoirs. Using a representative FEM-based application, we propose and evaluate two parallel algorithms based on the inverse mapping and on the mesh coloring, respectively. The distinguishing feature of our parallel versions is that they were implemented in a distributed shared-memory system (SDSMs), which offers the intuitive shared-memory programming model on a cluster of low-cost high-performance PCs. Our results for several workloads show that the inverse mapping scheme achieved the best speedup at 7.11 out of 8 processors, though the mesh coloring algorithm scales well. Overall, these preliminary results we obtained indicate that cluster-based SDSMs represent a cost-effective friendly-programming platform for developing parallel FEM-based applications.