Seismic modeling & imaging on GPU

in: 2016 RING Meeting, ASGA

Abstract

3D seismic modeling and imaging can be very time demanding. Computation time can be drastically reduced by performing simulations on graphics processing units (GPUs). In this report, I discuss the implementation of and performance of the acoustic wave equation, reverse time migration, and Kirchhoff depth and time migration, on a personal computer with a single GPU. I start with an overview of GPU programming, then I describe the modeling and imaging methods before closing with some examples. The objective of this paper is to benchmark the 3D acoustic seismic modeling and imaging library currently being developed.

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BibTeX Reference

@INPROCEEDINGS{,
    author = { Irakarama, Modeste },
     title = { Seismic modeling & imaging on GPU },
 booktitle = { 2016 RING Meeting },
      year = { 2016 },
 publisher = { ASGA },
  abstract = { 3D seismic modeling and imaging can be very time demanding. Computation time can be drastically reduced by performing simulations on graphics processing units (GPUs). In this report, I
discuss the implementation of and performance of the acoustic wave equation, reverse time migration, and Kirchhoff depth and time migration, on a personal computer with a single GPU. I start
with an overview of GPU programming, then I describe the modeling and imaging methods before
closing with some examples. The objective of this paper is to benchmark the 3D acoustic seismic
modeling and imaging library currently being developed. }
}