Biblio

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2017
Mathias Louboutin, Lluís Guasch, and Felix J. Herrmann, Data normalization strategies for full-waveform inversion, in EAGE Annual Conference Proceedings, 2017.
Navjot Kukreja, Michael Lange, Mathias Louboutin, Fabio Luporini, and Gerard Gorman, Devito: symbolic math for automated fast finite difference computations, in SIAM Conference on Computational Science and Engineering, 2017.
Mathias Louboutin, Philipp A. Witte, Michael Lange, Navjot Kukreja, Fabio Luporini, Gerard Gorman, and Felix J. Herrmann, Full-Waveform Inversion - Part 1: forward modeling, The Leading Edge, vol. 36, pp. 1033-1036, 2017.
Philipp A. Witte, Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, A large-scale time-domain seismic modeling and inversion workflow in Julia, UBC, TR-EOAS-2017-1, 2017.
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kurjeka, Jan Hueckelheim, Gerard Gorman, Philipp A. Witte, and Felix J. Herrmann, Latest developments in Devito, SINBAD Fall consortium talks. SINBAD, 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.
Marie Graff-Kray, Rajiv Kumar, and Felix J. Herrmann, Low-rank representation of omnidirectional subsurface extended image volumes, SINBAD Fall consortium talks. SINBAD, 2017.
Rajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, and Felix J. Herrmann, Multi-domain target-oriented imaging using extreme-scale matrix factorization, SINBAD Fall consortium talks. SINBAD, 2017.
Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, and Gerard Gorman, Optimised finite difference computation from symbolic equations, in Python in Science Conference Proceedings, 2017, pp. 89-96.
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, 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, 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.
2019
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.
Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul Hovland, and Gerard Gorman, Combining checkpointing and data compression to accelerate adjoint-based optimization problems, Euro-Par 2019: Parallel Processing, pp. 87-100, 2019.
Philipp A. Witte, Mathias Louboutin, Fabio Luporini, Gerard J. Gorman, and Felix J. Herrmann, Compressive least squares migration with on-the-fly Fourier transforms, in SIAM Conference on Computational Science and Engineering, 2019.
Philipp A. Witte, Mathias Louboutin, Fabio Luporini, Gerard J. Gorman, and Felix J. Herrmann, Compressive least-squares migration with on-the-fly Fourier transforms, Geophysics, vol. 84, pp. R655-R672, 2019.
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.
Philipp A. Witte, Mathias Louboutin, Navjot Kukreja, Fabio Luporini, Michael Lange, Gerard J. Gorman, and Felix J. Herrmann, Geophysics Bright Spots: Efficient coding of large-scale seismic inversion algorithms, The Leading Edge, vol. 38, pp. 482-484, 2019.

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