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[1-12]
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[Title],
[Author],
[Editor],
[Year] |
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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
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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
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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
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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
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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
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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
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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
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Navjot Kukreja, Jan Hückelheim, Gerard J. Gorman
Backpropagation for long sequences: beyond memory constraints with constant overheads
Article in
CoRR, 2018 |
Theory & Techniques:
Checkpointing
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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
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Jan Hückelheim, Johannes Doerfert
Spray: Sparse Reductions of Arrays in OpenMP
Conference proceeding,
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021 |
Theory & Techniques:
Parallelism
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Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola Ferrier, Paul Hovland, Gerard Gorman
Training on the Edge: The why and the how
Conference proceeding,
2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2019 |
Theory & Techniques:
Checkpointing
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William S. Moses, Valentin Churavy, Ludger Paehler, Jan Hückelheim, Sri Hari Krishna Narayanan, Michel Schanen, Johannes Doerfert
Reverse-Mode Automatic Differentiation and Optimization of GPU Kernels via Enzyme
Conference proceeding,
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Association for Computing Machinery,
2021 |
Tools:
Enzyme
Theory & Techniques:
Parallelism
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