A usability case study of algorithmic differentiation tools on the ISSM ice sheet model-Reference-Cited by-同舟云学术

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

Published:2017-11-08 Issue:4-6 Volume:33 Page:844-867
ISSN:1055-6788
Container-title:Optimization Methods and Software
language:en
Short-container-title:Optimization Methods and Software

Author:

Hück Alexander¹,Bischof Christian¹,Sagebaum Max²,Gauger Nicolas R.²,Jurgelucks Benjamin³,Larour Eric⁴,Perez Gilberto⁵

Affiliation:

1. Scientific Computing, Technische Universität Darmstadt, Darmstadt, Germany

2. Scientific Computing, Technische Universität Kaiserslautern, Kaiserslautern, Germany

3. Institut für Mathematik, Universität Paderborn, Paderborn, Germany

4. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA

5. School of Information and Computer Sciences, University of California, Irvine, CA, USA

Funder

German Science Foundation

Deutsche Forschungsgemeinschaft

Publisher

Informa UK Limited

Subject

Applied Mathematics,Control and Optimization,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/10556788.2017.1396602

Reference32 articles.

1. P.R. Amestoy, I.S. Duff, J.Y. L'Excellent, and J. Koster,MUMPS: A general purpose distributed memory sparse solver, inInternational Workshop on Applied Parallel Computing, T. Sørevik, F. Manne, A.H. Gebremedhin, and R. Moe, eds. Springer, Berlin, 2000, pp. 121–130.

2. Data Assimilation

3. C.H. Bischof and M.R. Haghighat,Hierarchical approaches to automatic differentiation, inComputational Differentiation: Techniques, Applications, and Tools, M. Berz, C. Bischof, G. Corliss, and A. Griewank, eds. SIAM, Philadelphia, 1996, pp. 83–94.

4. Adifor 2.0: automatic differentiation of Fortran 77 programs

5. Implementation of automatic differentiation tools

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Algorithmic Differentiation for adjoint sensitivity calculation in plasma edge codes;Journal of Computational Physics;2023-10

2. Source-to-Source Automatic Differentiation of OpenMP Parallel Loops;ACM Transactions on Mathematical Software;2022-02-16

3. Bayesian maximum a posteriori‐estimation of κ turbulence model parameters using algorithmic differentiation in SOLPS‐ITER;Contributions to Plasma Physics;2021-12-27

4. icepack: a new glacier flow modeling package in Python, version 1.0;Geoscientific Model Development;2021-07-26

5. Towards compiler-aided correctness checking of adjoint MPI applications;2020 IEEE/ACM 4th International Workshop on Software Correctness for HPC Applications (Correctness);2020-11