Algorithm 755: ADOL-C: A package for the automatic differentiation of algorithms written in C/C++ A Griewank, D Juedes, J Utke ACM Transactions on Mathematical Software (TOMS) 22 (2), 131-167, 1996 | 1215 | 1996 |
OpenAD/F: A modular open-source tool for automatic differentiation of Fortran codes J Utke, U Naumann, M Fagan, N Tallent, M Strout, P Heimbach, C Hill, ... ACM Transactions on Mathematical Software (TOMS) 34 (4), 1-36, 2008 | 191 | 2008 |
Advances in automatic differentiation CH Bischof, HM Bücker, P Hovland, U Naumann, J Utke Springer Berlin Heidelberg, 2008 | 132 | 2008 |
Evaluating higher derivative tensors by forward propagation of univariate Taylor series A Griewank, J Utke, A Walther Mathematics of computation 69 (231), 1117-1130, 2000 | 123 | 2000 |
Timescales and regions of the sensitivity of Atlantic meridional volume and heat transport: Toward observing system design P Heimbach, C Wunsch, RM Ponte, G Forget, C Hill, J Utke Deep Sea Research Part II: Topical Studies in Oceanography 58 (17-18), 1858-1879, 2011 | 83 | 2011 |
Toward adjoinable MPI J Utke, L Hascoet, P Heimbach, C Hill, P Hovland, U Naumann 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-8, 2009 | 83 | 2009 |
Inferred basal friction and surface mass balance of the Northeast Greenland Ice Stream using data assimilation of ICESat (Ice Cloud and land Elevation Satellite) surface … E Larour, J Utke, B Csatho, A Schenk, H Seroussi, M Morlighem, E Rignot, ... The Cryosphere 8 (6), 2335-2351, 2014 | 75 | 2014 |
Interpretative adjoints for numerical simulation codes using MPI M Schanen, U Naumann, L Hascoët, J Utke Procedia Computer Science 1 (1), 1825-1833, 2010 | 47 | 2010 |
Fast higher-order derivative tensors with Rapsodia I Charpentier, J Utke Optimization Methods & Software 24 (1), 1-14, 2009 | 35 | 2009 |
A framework for proving correctness of adjoint message-passing programs U Naumann, L Hascoët, C Hill, P Hovland, J Riehme, J Utke Recent Advances in Parallel Virtual Machine and Message Passing Interface …, 2008 | 29 | 2008 |
OpenAD: algorithm implementation user guide. J Utke Argonne National Lab., Argonne, IL (US), 2004 | 26 | 2004 |
Control flow reversal for adjoint code generation U Naumann, J Utke, A Lyons, M Fagan Source Code Analysis and Manipulation, Fourth IEEE International Workshop on …, 2004 | 24 | 2004 |
Automatic computation of sparse Jacobians by applying the method of Newsam and Ramsdell U Geitner, J Utke, A Griewank Techn. Univ., Rektor, 1995 | 23 | 1995 |
An optimized treatment for algorithmic differentiation of an important glaciological fixed-point problem DN Goldberg, SHK Narayanan, L Hascoet, J Utke Geoscientific Model Development 9 (5), 1891-1904, 2016 | 22 | 2016 |
Adjoint code by source transformation with OpenAD/F U Naumann, J Utke, P Heimbach, C Hill, D Ozyurt, C Wunsch, M Fagan, ... ECCOMAS CFD 2006: Proceedings of the European Conference on Computational …, 2006 | 21 | 2006 |
Recent advances in algorithmic differentiation S Forth, P Hovland, E Phipps, J Utke, A Walther Springer Science & Business Media, 2012 | 20 | 2012 |
Flattening basic blocks J Utke Automatic Differentiation: Applications, Theory, and Implementations, 121-133, 2006 | 19 | 2006 |
OpenAD/F: user manual J Utke, U Naumann, A Lyons Argonne National Laboratory, 2006 | 18 | 2006 |
Combined convolutional and recurrent neural networks for hierarchical classification of images J Koo, D Klabjan, J Utke 2020 IEEE International Conference on Big Data (Big Data), 1354-1361, 2020 | 17 | 2020 |
Efficient reversal of the intraprocedural flow of control in adjoint computations J Utke, A Lyons, U Naumann Journal of Systems and Software 79 (9), 1280-1294, 2006 | 15 | 2006 |