Name
Abstract | ||
|---|---|---|
We have designed a fast parallel simulator that solves the acoustic wave equation on a GPU cluster. Solving the acoustic wave equation in an oil exploration industrial context aims at speeding up seismic modeling and Reverse Time Migration. We consider a finite dierence approach on a regular mesh, in both 2D and 3D cases. The acoustic wave equation is solved in either a constant density or a variable density domain. All the computations are done in single precision, since double precision is not required in our context. We use CUDA to take advantage of the GPUs computational power. We study dierent implementations and their impact on the application performance. We obtain a speed up of 10 for Reverse Time Migration and up to 30 for the modeling application over a sequential code running on general purpose CPU. |
Year | Venue | Keywords |
|---|---|---|
2009 | HPCS | reverse time migration,cuda.,gpgpu,finite dierence,seismic modeling,central processing unit,coprocessors,earth,mathematical model,context modeling,computational modeling,seismic waves,acoustic waves,petroleum,geology,parallel processing,acoustic wave equation,computer graphics,kernel,registers,finite difference methods,computer architecture,seismology,petroleum industry,finite difference,gas industry |
Field | DocType | Citations |
Seismic migration,GPU cluster,CUDA,Computer science,Acoustic wave equation,Parallel computing,Double-precision floating-point format,General-purpose computing on graphics processing units,Acoustic wave,Speedup | Conference | 26 |
PageRank | References | Authors |
2.32 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Abdelkhalek | 1 | 26 | 2.32 |
| Henri Calandra | 2 | 72 | 9.27 |
| Olivier Coulaud | 3 | 123 | 14.63 |
| G. Latu | 4 | 38 | 3.96 |
| J. Roman | 5 | 26 | 2.32 |