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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.
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.
Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, Optimizing the computational performance of time-domain modelling–-leveraging multiple right-hand-sides, UBC, TR-EOAS-2017-2, 2017.
Mathias Louboutin and Felix J. Herrmann, Randomized linear algebra for inversion, ML4SEISMIC Partners Meeting. 2021.
Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Thorbecke, J., Felix J. Herrmann, and Gerard Gorman, Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, and Gerard Gorman, Performance prediction of finite-difference solvers for different computer architectures, Computers & Geosciences, vol. 105, pp. 148-157, 2017.
Mathias Louboutin, Modeling for inversion in exploration geophysics, Georgia Institute of Technology, Atlanta, 2020.
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.
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, and Gerard J. Gorman, Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration, Geoscientific Model Development, 2019.
Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, and Felix J. Herrmann, Low-memory stochastic backpropagation with multi-channel randomized trace estimation, TR-CSE-2021-1, 2021.
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.
Tim T.Y. Lin and Felix J. Herrmann, The student-driven HPC environment at SLIM, in Inaugural Full-Waveform Inversion Workshop, 2015.
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.