Tuning seismic imaging workflows for GPU supercomputer performance at scale
Author:
Affiliation:
1. Total SA
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2020-3427631.1
Reference8 articles.
1. Inversion of seismic reflection data in the acoustic approximation
2. Duprat, V., and R. Baina, 2016, An efficient least-squares reverse-time migration using true-amplitude imaging condition as an optimal preconditioner: 78th EAGE Conference and Exhibition, 1–5, doi: 10.3997/2214-4609.201601199.
3. Paulius, M., 2009, 3D finite difference computation on GPUs using CUDA: Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units (GPGPU-2), Association for Computing Machinery, 79–84, doi: 10.1145/1513895.1513905.
4. Leveraging the accelerated processing units for seismic imaging: A performance and power efficiency comparison against CPUs and GPUs
5. Boillot, L., D. Klahr, L. Qu, X. Lacoste, M. Bonnasse-Gahot, J. Montel, E. Bergounioux and J. Briche, 2019, Total takes the deep dive into GPU for seismic imaging: Fourth EAGE Workshop on High Performance Computing for Upstream, 1–4, doi: 10.3997/2214-4609.201903283.
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