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arXiv · 1707.03776

Optimised finite difference computation from symbolic equations

Michael Lange·Navjot Kukreja·Fabio Luporini·Mathias Louboutin·Charles Yount·Jan Hückelheim·Gerard J. Gorman
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Abstract

Domain-specific high-productivity environments are playing an increasingly important role in scientific computing due to the levels of abstraction and automation they provide. In this paper we introduce Devito, an open-source domain-specific framework for solving partial differential equations from symbolic problem definitions by the finite difference method. We highlight the generation and automated execution of highly optimized stencil code from only a few lines of high-level symbolic Python for a set of scientific equations, before exploring the use of Devito operators in seismic inversion problems.

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Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard J. Gorman. 2017-07-12. Optimised finite difference computation from symbolic equations. https://arxiv.org/abs/1707.03776

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