Optimised finite difference computation from symbolic equations

TitleOptimised finite difference computation from symbolic equations
Publication TypeConference
Year of Publication2017
AuthorsMichael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard Gorman
Conference NamePython in Science Conference Proceedings
Keywordsdomain-specific languages, finite difference, symbolic Python

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.


(SciPy, Texas)

Citation Keylange2017SCIPYofd