Programming language features, usage patterns, and the efficiency of generated adjoint code

DOI10.1080/10556788.2016.1146269zbMath1365.65054OpenAlexW2336786126MaRDI QIDQ2829567

Jean Utke, Laurent Hascoët

Publication date: 8 November 2016

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://hal.inria.fr/hal-01413332/file/adjointEff.pdf

zbMATH Keywords

automatic differentiationalgorithmic differentiationadjoint computationsource transformation

Mathematics Subject Classification ID

Theory of programming languages (68N15) Numerical differentiation (65D25)

Related Items

Source-to-source adjoint Algorithmic Differentiation of an ice sheet model written in C

Uses Software

• revolve
• Autodiff

Cites Work

• Recent advances in algorithmic differentiation. Selected papers based on the presentations at the 6th international conference on automatic differentiation (AD2012), Fort Collins, CO, USA, July 23--27, 2012.
• Advances in automatic differentiation. Selected papers based on the presentations at the 5th international conference on automatic differentiation, Bonn, Germany, August 11--15, 2008
• Evaluating Derivatives
• Algorithm 799: revolve
• The Data-Flow Equations of Checkpointing in Reverse Automatic Differentiation