10 citations · 23 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2019★ 7 cited
Adjoint computations by algorithmic differentiation of a parallel solver for time-dependent PDEs
J. I. Cardesa, L. Hascoët, C. Airiau
A computational fluid dynamics code is differentiated using algorithmic differentiation (AD) in both tangent and adjoint modes. The two novelties of the present approach are 1) the…
cs.MS2007★ 10 cited
Building the Tangent and Adjoint codes of the Ocean General Circulation Model OPA with the Automatic Differentiation tool TAPENADE
Moulay Hicham Tber, Laurent Hascoet, Arthur Vidard +1
The ocean general circulation model OPA is developed by the LODYC team at Paris VI university. OPA has recently undergone a major rewriting, migrating to FORTRAN95, and its adjoint…
cs.DS2006★ 6 cited
Enabling user-driven Checkpointing strategies in Reverse-mode Automatic Differentiation
Laurent Hascoet, Mauricio Araya-Polo
This paper presents a new functionality of the Automatic Differentiation (AD) tool Tapenade. Tapenade generates adjoint codes which are widely used for optimization or inverse prob…