Publications by Author: Hück
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About


Order by: [Title], [Author], [Editor], [Year]
Alexander Hück, Christian Bischof, Max Sagebaum, Nicolas R. Gauger, Benjamin Jurgelucks, Eric Larour, Gilberto Perez
A usability case study of algorithmic differentiation tools on the ISSM ice sheet model
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Alexander Hück, Sebastian Kreutzer, Danny Messig, Arne Scholtissek, Christian Bischof, Christian Hasse
Application of Algorithmic Differentiation for Exact Jacobians to the Universal Laminar Flame Solver
Conference proceeding, Computational Science -- ICCS 2018, Springer International Publishing, 2018
Application Area:
Computational Fluid Dynamics
Tools:
CoDiPack
Navjot Kukreja, Jan Hückelheim, Gerard J. Gorman
Backpropagation for long sequences: beyond memory constraints with constant overheads
Article in CoRR, 2018
Theory & Techniques:
Checkpointing
Siamak Akbarzadeh, Jan Hückelheim, Jens-Dominik Müller
Consistent treatment of incompletely converged iterative linear solvers in reverse-mode algorithmic differentiation
Article in Computational Optimization and Applications, Springer Science and Business Media LLC, 2020
Theory & Techniques:
Iteration
Jan Christian Hückelheim
Discrete adjoints on many cores: Algorithmic differentiation of accelerated fluid simulations
Ph.D. thesis, School of Engineering and Materials Science, Queen Mary University of London, 2016
Application Area:
Aerodynamics
Theory & Techniques:
Checkpointing, Iteration, Parallelism, Static Analysis
Jan C. Hückelheim, Paul D. Hovland, Michelle M. Strout, Jens-Dominik Müller
Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Adjoint, Code Optimization, control-flow reversal, Data Flow Analysis, data-flow reversal, Implementation Strategies, Parallelism, Performance, Reverse Mode, Source transformation
Alexander Hück, Johannes Willkomm, Christian Bischof
Recent Trends in Computational Engineering---CE2014: Optimization, Uncertainty, Parallel Algorithms, Coupled and Complex Problems
Springer International Publishing, 2015
Tools:
ADiMat
Theory & Techniques:
Implementation Strategies
Alexander Hück, Johannes Willkomm, Christian Bischof
Source Transformation for the Optimized Utilization of the Matlab Runtime System for Automatic Differentiation
Recent Trends in Computational Engineering --- CE2014: Optimization, Uncertainty, Parallel Algorithms, Coupled and Complex Problems, Springer International Publishing, 2015
Tools:
ADiMat
Jan Hückelheim, Michel Schanen, Sri Hari Krishna Narayanan, Paul Hovland
Vector Forward Mode Automatic Differentiation on SIMD/SIMT Architectures
Conference proceeding, 49th International Conference on Parallel Processing -- ICPP, Association for Computing Machinery, 2020
Theory & Techniques:
Parallelism
Markus Schordan, Jan Hückelheim, Pei-Hung Lin, Harshitha Menon
Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code
Conference proceeding, Proceedings of the First International Workshop on Software Correctness for HPC Applications, CORRECTNESS@SC 2017, Denver, CO, USA, November 12, 2017, ACM, 2017
Application Area:
Error Analysis

back
  

Contact:
autodiff.org
Username:
Password:
(lost password)