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2020 – today
- 2024
[j3]François Pacaud
, Sungho Shin, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu:
Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures. J. Optim. Theory Appl. 202(1): 184-203 (2024)- [j2]François Pacaud, Michel Schanen, Sungho Shin, Daniel Adrian Maldonado, Mihai Anitescu:
Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures. Optim. Methods Softw. 39(4): 874-897 (2024) - [c16]Sungho Shin, Vishwas Rao, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu:
Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities. OSMSES 2024: 1-6 - 2023
- [j1]Christopher J. Geoga, Oana Marin, Michel Schanen, Michael L. Stein:
Fitting Matérn smoothness parameters using automatic differentiation. Stat. Comput. 33(2): 48 (2023) - [c15]Michel Schanen, Sri Hari Krishna Narayanan, Sarah Williamson, Valentin Churavy, William S. Moses, Ludger Paehler:
Transparent Checkpointing for Automatic Differentiation of Program Loops Through Expression Transformations. ICCS (3) 2023: 483-497 - 2022
- [c14]Vishwas Rao, Anirudh Subramanyam, Michel Schanen, Youngdae Kim, Ignas Satkauskas, Mihai Anitescu:
Frequency Recovery in Power Grids using High-Performance Computing. ICPP Workshops 2022: 20:1-20:6 - [c13]François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu:
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. PP 2022: 60-71 - [c12]William S. Moses, Sri Hari Krishna Narayanan, Ludger Paehler, Valentin Churavy, Michel Schanen, Jan Hückelheim, Johannes Doerfert, Paul D. Hovland:
Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation. SC 2022: 60:1-60:18 - [i3]François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu:
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. CoRR abs/2201.00241 (2022) - [i2]Oana Marin, Christopher J. Geoga, Michel Schanen:
On automatic differentiation for the Matérn covariance. CoRR abs/2201.00262 (2022) - 2021
- [c11]Daniel Adrian Maldonado, Michel Schanen, François Pacaud, Mihai Anitescu:
Domain Decomposition Preconditioners for Unstructured Network Problems in Parallel Vector Architectures. ICPP Workshops 2021: 30:1-30:5 - [c10]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. SC 2021: 61 - 2020
- [c9]Jan Hückelheim, Michel Schanen, Sri Hari Krishna Narayanan, Paul D. Hovland:
Vector Forward Mode Automatic Differentiation on SIMD/SIMT architectures. ICPP 2020: 39:1-39:11
2010 – 2019
- 2019
- [c8]Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu:
A Framework for Distributed Approximation of Moments with Higher-Order Derivatives Through Automatic Differentiation. ICCS (5) 2019: 251-260 - 2017
- [i1]Nicolas Offermans, Oana Marin, Michel Schanen, Jing Gong, Paul F. Fischer, Philipp Schlatter, Aleks Obabko, Adam Peplinski, Maxwell Hutchinson, Elia Merzari:
On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems. CoRR abs/1706.02970 (2017) - 2016
- [b1]Michel Schanen:
Semantics driven adjoints of the message passing interface. RWTH Aachen, Germany, 2016 - [c7]Nicolas Offermans, Oana Marin, Michel Schanen, Jing Gong, Paul F. Fischer, Philipp Schlatter:
On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems. EASC 2016: 5:1-5:10 - [c6]Michel Schanen, Oana Marin, Hong Zhang, Mihai Anitescu:
Asynchronous Two-level Checkpointing Scheme for Large-scale Adjoints in the Spectral-element Solver Nek5000. ICCS 2016: 1147-1158 - 2015
- [c5]Markus Towara, Michel Schanen, Uwe Naumann:
MPI-Parallel Discrete Adjoint OpenFOAM. ICCS 2015: 19-28 - 2013
- [c4]Johannes Lotz, Uwe Naumann, Max Sagebaum, Michel Schanen:
Discrete Adjoints of PETSc through dco/c++ and Adjoint MPI. Euro-Par 2013: 497-507 - 2012
- [c3]Michel Schanen, Uwe Naumann:
A Wish List for Efficient Adjoints of One-Sided MPI Communication. EuroMPI 2012: 248-257 - 2010
- [c2]Michel Schanen, Michael Förster, Uwe Naumann:
Second-Order Algorithmic Differentiation by Source Transformation of MPI Code. EuroMPI 2010: 257-264 - [c1]Michel Schanen, Uwe Naumann, Laurent Hascoët, Jean Utke:
Interpretative adjoints for numerical simulation codes using MPI. ICCS 2010: 1825-1833
Coauthor Index
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