From CPU to GPU in Two Days: 3D Elastic Orthorhombic Modeling with OpenAcc

References

1. Alkhalifah, T.
   (2000). An acoustic wave equation for anisotropic media.Geophysics, 65(4), 1239–1250.
   [Google Scholar]
2. Baeten, G., de Maag, J. W., Plessix, R.-E., Klaassen, R., Qureshi, T., Kleemeyer, M., Kroode, F. t. and Rujie, Z.
   (2013), The use of low frequencies in a full-waveform inversion and impedance inversion land seismic case study. Geophysical Prospecting, 61: 701–711.
   [Google Scholar]
3. Bohlen, T.
   (2002). Parallel 3-D viscoelastic finite difference seismic modelling.Computers & Geosciences, 28(8), 887–899.
   [Google Scholar]
4. Fehler, M. and Keliher, P.J.
   [2011] SEAM Phase I: Challenges of subsalt imaging in tertiary basins, with emphasis on deepwater Gulf of Mexico.Society of Exploration Geophysicists, USA.
   [Google Scholar]
5. Jablin, T. B., Jablin, J. A., Prabhu, P., Liu, F., & August, D. I.
   (2012). Dynamically managed data for CPU-GPU architectures. InProceedings of the Tenth International Symposium on Code Generation and Optimization (pp. 165–174). ACM.
   [Google Scholar]
6. Hoshino, T., Maruyama, N., Matsuoka, S., & Takaki, R.
   (2013). CUDA vs OpenACC: Performance case studies with kernel benchmarks and a memory-bound CFD application. In Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on (pp. 136–143). IEEE.
   [Google Scholar]
7. Kazei, V., Tessmer, E., & Alkhalifah, T.
   (2016). Scattering angle-based filtering via extension in velocity. InSEG Technical Program Expanded Abstracts 2016 (pp. 1157–1162). Society of Exploration Geophysicists.
   [Google Scholar]
8. Lee, V. W., Kim, C., Chhugani, J., Deisher, M., Kim, D., Nguyen, A. D., … & Singhal, R.
   (2010). Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU.ACM SIGARCH Computer Architecture News, 38(3), 451–460.
   [Google Scholar]
9. Masmoudi, N., & Alkhalifah, T.
   (2016). A new parameterization for waveform inversion in acoustic orthorhombic media.Geophysics, 81(4), R157–R171.
   [Google Scholar]
10. Moczo, P., Kristek, J. and Halada, L.
    [2000] 3D fourth-order staggered-grid finite-difference schemes: Stability and grid dispersion.Bulletin of the Seismological Society of America, 90, 587–603.
    [Google Scholar]
11. Oh, J. W., & Alkhalifah, T.
    (2016). 3D elastic-orthorhombic anisotropic full-waveform inversion: Application to field OBC data. InSEG Technical Program Expanded Abstracts 2016 (pp. 1206–1210). Society of Exploration Geophysicists.
    [Google Scholar]
12. Raknes, E. B., Arntsen, B., & Weibull, W.
    (2015). Three-dimensional elastic full waveform inversion using seismic data from the Sleipner area.Geophysical Journal International, 202(3), 1877–1894.
    [Google Scholar]
13. Saenger, E. H., & Bohlen, T.
    (2004). Finite-difference modeling of viscoelastic and anisotropic wave propagation using the rotated staggered grid.Geophysics, 69(2), 583–591.
    [Google Scholar]
14. Tsvankin, I.
    (1997). Anisotropic parameters and P-wave velocity for orthorhombic media.Geophysics, 62(4), 1292–1309.
    [Google Scholar]
15. Virieux, J.
    (1986). P-SV wave propagation in heterogeneous media: Velocity-stress finite-difference method.Geophysics, 51(4), 889–901.
    [Google Scholar]
16. Virieux, J., Calandra, H. and Plessix, R.-É.
    (2011), A review of the spectral, pseudo-spectral, finite-difference and finite-element modelling techniques for geophysical imaging. Geophysical Prospecting, 59: 794–813. doi:10.1111/j.1365‑2478.2011.00967.x
    https://doi.org/10.1111/j.1365-2478.2011.00967.x [Google Scholar]
17. Warner, M., Ratcliffe, A., Nangoo, T., Morgan, J., Umpleby, A., Shah, N., … & Conroy, G.
    (2013). Anisotropic 3D full-waveform inversion.Geophysics, 78(2), R59–R80.
    [Google Scholar]