Nicolas R. Gauger

CoRR, 2024

Local Adjoints for Simultaneous Preaccumulations with Shared Inputs.

[BibT_eX]

[DOI]

CoRR, 2024

Hybrid Parallel Discrete Adjoints in SU2.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning.

[BibT_eX]

[DOI]

Tobias Kortus

Ralf Keidel

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Event-Based Automatic Differentiation of OpenMP with OpDiLib.

[BibT_eX]

[DOI]

ACM Trans. Math. Softw., March, 2023

Data-driven aerodynamic shape design with distributionally robust optimization approaches.

[BibT_eX]

[DOI]

CoRR, 2023

Integrating Enzyme-generated functions into CoDiPack.

[BibT_eX]

[DOI]

Max Aehle

CoRR, 2023

A gradient descent akin method for constrained optimization: algorithms and applications.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Reverse-Mode Automatic Differentiation of Compiled Programs.

[BibT_eX]

[DOI]

CoRR, 2022

Forward-Mode Automatic Differentiation of Compiled Programs.

[BibT_eX]

[DOI]

CoRR, 2022

QFT-based Homogenization.

[BibT_eX]

[DOI]

Felix Givois

Matthias Kabel

CoRR, 2022

Physics-Informed Learning of Aerosol Microphysics.

[BibT_eX]

[DOI]

CoRR, 2022

Derivatives in Proton CT.

[BibT_eX]

[DOI]

Max Aehle

Johan Alme

Gergely Gábor Barnaföldi

Helge Egil Seime Pettersen

Tea Bodova

Vyacheslav Borshchov

Anthony van den Brink

Raju Ningappa Mulawade

Monika Varga-Kofarago

CoRR, 2022

Hybrid Parallel ILU Preconditioner in Linear Solver Library GaspiLS.

[BibT_eX]

[DOI]

Raju Ram

Daniel Grünewald

Proceedings of the High Performance Computing - 37th International Conference, 2022

2021

Combining Sobolev Smoothing with Parameterized Shape Optimization.

[BibT_eX]

[DOI]

Thomas Dick

Stephan Schmidt

CoRR, 2021

Emulating Aerosol Microphysics with Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Hybrid Parallel ILU Preconditioner to Solve Sparse Linear Systems.

[BibT_eX]

[DOI]

Raju Ram

Daniel Grünewald

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

2020

Layer-Parallel Training of Deep Residual Neural Networks.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2020

Aerostructural Wing Shape Optimization assisted by Algorithmic Differentiation.

[BibT_eX]

[DOI]

CoRR, 2020

Index handling and assign optimization for Algorithmic Differentiation reuse index managers.

[BibT_eX]

[DOI]

CoRR, 2020

AutoMat - Automatic Differentiation for Generalized Standard Materials on GPUs.

[BibT_eX]

[DOI]

Matthias Kabel

CoRR, 2020

2019

High-Performance Derivative Computations using CoDiPack.

[BibT_eX]

[DOI]

Tim Albring

ACM Trans. Math. Softw., 2019

A non-intrusive parallel-in-time approach for simultaneous optimization with unsteady PDEs.

[BibT_eX]

[DOI]

Jacob B. Schroder

Optim. Methods Softw., 2019

Discrete adjoint gradient evaluations for linear stress and vibration analysis.

[BibT_eX]

[DOI]

Marc Schwalbach

Tom Verstraete

Comput. Vis. Sci., 2019

Scalable Hyperparameter Optimization with Lazy Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Avraam Chatzimichailidis

Janis Keuper

Franz-Josef Pfreundt

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

2018

Expression templates for primal value taping in the reverse mode of algorithmic differentiation.

[BibT_eX]

[DOI]

Tim Albring

Optim. Methods Softw., 2018

A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2018

A usability case study of algorithmic differentiation tools on the ISSM ice sheet model.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2018

Algorithmic Differentiation for Domain Specific Languages.

[BibT_eX]

[DOI]

CoRR, 2018

A non-intrusive parallel-in-time adjoint solver with the XBraid library.

[BibT_eX]

[DOI]

Jacob B. Schroder

Comput. Vis. Sci., 2018

2017

A framework for simultaneous aerodynamic design optimization in the presence of chaos.

[BibT_eX]

[DOI]

Qiqi Wang

J. Comput. Phys., 2017

A practical globalization of one-shot optimization for optimal design of tokamak divertors.

[BibT_eX]

[DOI]

J. Comput. Phys., 2017

2016

On an extension of one-shot methods to incorporate additional constraints.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2016

Shape derivatives for the compressible Navier-Stokes equations in variational form.

[BibT_eX]

[DOI]

Matthias Sonntag

Stephan Schmidt

J. Comput. Appl. Math., 2016

Simultaneous single-step one-shot optimization with unsteady PDEs.

[BibT_eX]

[DOI]

Qiqi Wang

J. Comput. Appl. Math., 2016

2014

One-shot methods in function space for PDE-constrained optimal control problems.

[BibT_eX]

[DOI]

Lena Kaland

Juan Carlos de los Reyes

Optim. Methods Softw., 2014

Adjoint Methods in Computational Science, Engineering, and Finance (Dagstuhl Seminar 14371).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2014

2013

Algorithmic Differentiation of a Complex C++ Code with Underlying Libraries.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2013

2012

Non-parametric Aerodynamic Shape Optimization.

[BibT_eX]

[DOI]

Proceedings of the Constrained Optimization and Optimal Control for Partial Differential Equations, 2012

Automated Extension of Fixed Point PDE Solvers for Optimal Design with Bounded Retardation.

[BibT_eX]

[DOI]

Proceedings of the Constrained Optimization and Optimal Control for Partial Differential Equations, 2012

2011

Optimal Control of Unsteady Flows Using a Discrete and a Continuous Adjoint Approach.

[BibT_eX]

[DOI]

Proceedings of the System Modeling and Optimization, 2011

2006

Differentiating Fixed Point Iterations with ADOL-C: Gradient Calculation for Fluid Dynamics.

[BibT_eX]

[DOI]

Sebastian Schlenkrich

Andrea Walther