202 citations · 257 across the 12 of their papers we have counts for
5 papers · 1 filter
Architecture and performance of Devito, a system for automated stencil computation
Fabio Luporini, Michael Lange, Mathias Louboutin +7
Stencil computations are a key part of many high-performance computing applications, such as image processing, convolutional neural networks, and finite-difference solvers for part…
High-level python abstractions for optimal checkpointing in inversion problems
Navjot Kukreja, Jan Hückelheim, Michael Lange +4
Inversion and PDE-constrained optimization problems often rely on solving the adjoint problem to calculate the gradient of the objec- tive function. This requires storing large amo…
Optimised finite difference computation from symbolic equations
Michael Lange, Navjot Kukreja, Fabio Luporini +4
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 t…
Devito: Towards a generic Finite Difference DSL using Symbolic Python
Michael Lange, Navjot Kukreja, Mathias Louboutin +6
Domain specific languages (DSL) have been used in a variety of fields to express complex scientific problems in a concise manner and provide automated performance optimization for…
Devito: automated fast finite difference computation
Navjot Kukreja, Mathias Louboutin, Felippe Vieira +3
Domain specific languages have successfully been used in a variety of fields to cleanly express scientific problems as well as to simplify implementation and performance opti- miza…