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Mathias Louboutin, Modeling for inversion in exploration geophysics, Georgia Institute of Technology, Atlanta, 2020.
Mathias Louboutin and Felix J. Herrmann, Ultra-low memory seismic inversion with randomized trace estimation, in SEG Technical Program Expanded Abstracts, 2021, pp. 787-791.
George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson, Gerard Gorman, and Paul H. J. Kelly, Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources, in IEEE International Parallel and Distributed Processing Symposium, 2021.
Tim T.Y. Lin and Felix J. Herrmann, The student-driven HPC environment at SLIM, in Inaugural Full-Waveform Inversion Workshop, 2015.
Philipp A. Witte, Mathias Louboutin, Charles Jones, and Felix J. Herrmann, Serverless seismic imaging in the cloud, in Rice Oil and Gas High Performance Computing Conference 2020, 2020.
Mathias Louboutin, Michael Lange, Navjot Kukreja, Fabio Luporini, Felix J. Herrmann, and Gerard Gorman, Raising the abstraction to separate concerns: enabling different physics for geophysical exploration, in SIAM Conference on Computational Science and Engineering, 2017.
Navjot Kukreja, Mathias Louboutin, Michael Lange, Fabio Luporini, and Gerard Gorman, Leveraging symbolic math for rapid development of applications for seismic modeling, in OGHPC, 2017.
Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira Zacarias, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, and Gerard Gorman, Devito: Towards a generic finite difference DSL using symbolic python, in 6th Workshop on Python for High-Performance and Scientific Computing, 2016, pp. 67-75.
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, Accelerating innovation with software abstractions for scalable computational geophysics, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Felix J. Herrmann, Charles Jones, Gerard Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, James Selvages, and Philipp A. Witte, Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility, in 4th EAGE Workshop on High-performance Computing, 2019.
Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Yijun Zhang, Philipp A. Witte, Gabrio Rizzuti, and Felix J. Herrmann, Abstractions for at-scale seismic inversion, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.