Search Results for author: Laurent Hascoët

Found 2 papers, 0 papers with code

Understanding Automatic Differentiation Pitfalls

no code implementations12 May 2023 Jan Hückelheim, Harshitha Menon, William Moses, Bruce Christianson, Paul Hovland, Laurent Hascoët

Automatic differentiation, also known as backpropagation, AD, autodiff, or algorithmic differentiation, is a popular technique for computing derivatives of computer programs accurately and efficiently.

Source-to-Source Automatic Differentiation of OpenMP Parallel Loops

no code implementations2 Nov 2021 Jan Hückelheim, Laurent Hascoët

This paper presents our work toward correct and efficient automatic differentiation of OpenMP parallel worksharing loops in forward and reverse mode.

Uncertainty Quantification

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