The use of parallel computing makes it feasible to simulate realistic seismological events, whose reconstruction requires wide domains, high frequencies and the introduc- tion of the dissipation terms. The propagation problem of seismic waves is a key feature of the earthquake dynamics that we are interested in numerically modeling and simu- lating. In particular, in this work we present several preliminary results about the load balancing for the parallel resolution of a simulation of the propagation of seismic waves in a 3D heterogeneous medium. The Finite Element Method is employed for the spatial discretization by using non–structured tetrahedral meshes. The Newmark method is used for the time discretization. With the aim to study a priori the load balancing, we intro- duce two performance indices: closing nodes and node balancing. In particular, the first one estimates the amount of processor data, the latter provides information on work–load distribution. The variation of these indices as functions of the number of processors and of the number of nodes of the grid is then investigated.

Simulation of seismic wave propagation in 3D heterogeneous media:a parallel computing approach

AGRESTE, SANTA;RICCIARDELLO, ANGELA
2011

Abstract

The use of parallel computing makes it feasible to simulate realistic seismological events, whose reconstruction requires wide domains, high frequencies and the introduc- tion of the dissipation terms. The propagation problem of seismic waves is a key feature of the earthquake dynamics that we are interested in numerically modeling and simu- lating. In particular, in this work we present several preliminary results about the load balancing for the parallel resolution of a simulation of the propagation of seismic waves in a 3D heterogeneous medium. The Finite Element Method is employed for the spatial discretization by using non–structured tetrahedral meshes. The Newmark method is used for the time discretization. With the aim to study a priori the load balancing, we intro- duce two performance indices: closing nodes and node balancing. In particular, the first one estimates the amount of processor data, the latter provides information on work–load distribution. The variation of these indices as functions of the number of processors and of the number of nodes of the grid is then investigated.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/1914440
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact