Biblio

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Conference
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, Mathias Louboutin, Felippe Vieira Zacarias, Fabio Luporini, Michael Lange, and Gerard Gorman, Devito: automated fast finite difference computation, in WOLFHPC 2016 Workshop (Super Computing), 2016.
Marcos de Aguiar, Gerard Gorman, Felix J. Herrmann, Navjot Kukreja, Michael Lange, Mathias Louboutin, and Felippe Vieira Zacarias, DeVito: fast finite difference computation, in Super Computing (SC16), 2016.
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.
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.
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, 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, 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.
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.