Automatic differentiation of C++ codes on emerging manycore architectures with Sacado
From MaRDI portal
Publication:6599984
DOI10.1145/3560262MaRDI QIDQ6599984
Roger P. Pawlowski, Christian Trott, Eric T. Phipps
Publication date: 6 September 2024
Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- 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.
- Stabilized FE simulation of prototype thermal-hydraulics problems with integrated adjoint-based capabilities
- Advances in automatic differentiation. Selected papers based on the presentations at the 5th international conference on automatic differentiation, Bonn, Germany, August 11--15, 2008
- Using exact Jacobians in an implicit Newton-Krylov method
- IMEX and exact sequence discretization of the multi-fluid plasma model
- Scalable implicit incompressible resistive MHD with stabilized FE and fully-coupled Newton-Krylov-AMG
- Automatic differentiation: Applications, theory, and implementations. Selected papers based on the presentation at the 4th international conference on automatic differentiation (AD), Chicago, IL, USA, July 20--23, 2004
- Exploiting Sparsity in Automatic Differentiation on Multicore Architectures
- Efficient Expression Templates for Operator Overloading-Based Automatic Differentiation
- The Art of Differentiating Computer Programs
- An overview of the Trilinos project
- Evaluating Derivatives
- Source-to-Source Automatic Differentiation of OpenMP Parallel Loops
- Automatic Differentiation of C++ Codes for Large-Scale Scientific Computing
- Algorithmic Differentiation of Pragma-Defined Parallel Regions
- Computational differentiation: techniques, applications, and tools
- Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures
- Parallel simulation of compressible flow using automatic differentiation and PETSc
This page was built for publication: Automatic differentiation of C++ codes on emerging manycore architectures with Sacado
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6599984)