Audi (not the car, rather from latin: “listen!”) is an open source, header only, C++ library that allows for high order AUtomated DIfferentiation implementing the Taylor truncated polynomial algebra (forward mode automated differentiation). It was created with the aim to offer a solution to the user in need of a generic automated differentiation system. While other automated differentiation codes may be more efficient on some targeted application, AuDi was built to be fast and efficient across all application ranges (low/high order of derivation, one variable, many variables, sparse/dense cases). AuDi is internally powered by the truncated polynomial multiplication algorithm of the open source project Piranha some details of which are described in: Biscani, Francesco. Parallel sparse polynomial multiplication on modern hardware architectures. Proceedings of the 37th International Symposium on Symbolic and Algebraic Computation. ACM, 2012. Biscani, Francesco. Multiplication of sparse Laurent polynomials and Poisson series on modern hardware architectures. arXiv preprint arXiv:1004.4548 (2010). AuDi is thread-safe and, when possible, use of Piranha fine-grained parallelization of the truncated polynomial multiplication. The benefits of this fine grained parallelization are well visible for many variables and high differentiation orders.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Dario Izzo; Francesco Biscani: dcgp: Differentiable Cartesian Genetic Programming made easy (2020) not zbMATH
- Michael Tesch: cppduals: a nestable vectorized templated dual number library for C++11 (2019) not zbMATH
- Biscani, Francesco: Parallel sparse polynomial multiplication on modern hardware architectures (2012)