Talks & Publications
Below you can find an overview of selected publications, talks, and poster presentations. For a complete list, please refer to my CV.
Publications in Peer-Reviewed Journals
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C. Liu, F. Frank, C. Thiele, F.O. Alpak, S. Berg, W. Chapman, B. Riviere
An efficient numerical algorithm for solving viscosity contrast Cahn–Hilliard–Navier–Stokes system in porous media
Journal of Computational Physics, 2019 -
C. Thiele, M. Araya-Polo, F.O. Alpak, B. Riviere, F. Frank
Inexact hierarchical scale separation: A two-scale approach for linear systems from discontinuous Galerkin discretizations
Computers & Mathematics with Applications, 2017
Publications in Conference Proceedings and Workshops
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C. Thiele, M. Araya-Polo, D. Hohl
Deep learning with a stochastic quasi-Gauss–Newton method.
Workshop "Beyond First Order Methods in ML Systems," Thirty-seventh International Conference on Machine Learning (ICML), 2020 -
C. Thiele, M. Araya-Polo, F.O. Alpak, B. Riviere, D. Hohl
Weak scalability analysis of GPGPU-based iterative solvers in a two-phase pore-scale flow simulator
Fourth EAGE Workshop on High Performance Computing for Upstream, 2019 -
C. Thiele, M. Araya-Polo, F.O. Alpak, B. Riviere
Distributed parallel hybrid CPU-GPGPU implementation of the phase-field method for accelerated high-accuracy simulations of pore-scale two-phase flow
SPE Reservoir Simulation Conference, 2019 -
C. Thiele, M. Araya-Polo, F.O. Alpak, B. Riviere, F. Frank
Inexact hierarchical scale separation: An efficient linear solver for discontinuous Galerkin discretizations
SPE Reservoir Simulation Conference, 2017 -
C. Thiele, M. Araya-Polo, D. Stoyanov, F. Frank, F.O. Alpak
Asynchronous hybrid parallel SpMV in an industrial application
Int’l Conference on Computational Science and Computational Intelligence, 2016
Preprints
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C. Thiele, M. Araya-Polo, D. Hohl
Deep neural network learning with second-order optimizers – a practical study with a stochastic quasi-Gauss–Newton method
arXiv preprint arXiv:2004.03040, 2020 -
M. Grossman, C. Thiele, M. Araya-Polo, F. Frank, F.O. Alpak, V. Sarkar
A survey of sparse matrix-vector multiplication performance on large matrices
arXiv preprint arXiv:1608.00636, 2016
Talks
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Hybrid-parallel multigrid preconditioners in a pore-scale flow simulation
Rice Oil & Gas HPC Conference, Mar. 2–4, 2020, Houston, TX, USA -
p-Multigrid with partial smoothing – an efficient preconditioner for discontinuous Galerkin methods with modal bases
Finite Element Rodeo, Feb. 28–29, 2020, Waco, TX, USA -
p-Multigrid methods for discontinuous Galerkin discretizations with modal bases
Friedrich-Alexander-Universität Erlangen-Nürnberg, Dec. 19, 2019, Erlangen, Germany (Invited talk) -
Distributed parallel hybrid CPU-GPGPU implementation of the phase-field method for accelerated high-accuracy simulations of pore-scale two-phase flow
SPE Reservoir Simulation Conference, Apr. 10–11, 2019, Galveston, TX, USA -
Hierarchical scale separation: A multi-scale solver for linear systems in modal discontinuous Galerkin discretizations
Finite Element Rodeo, Mar. 1–2, 2019, Austin, TX, USA -
Improving scalability and performance of linear system solves in pore-scale simulations
Rice Oil & Gas HPC Conference. Mar. 15–16, 2017, Rice University, Houston, TX, USA -
Asynchronous hybrid parallel SpMV in an industrial application
Int’l Conference on Computational Science and Computational Intelligence, Dec. 15–17, 2016, Las Vegas, NV, USA
Posters
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Poster: C. Thiele, M. Araya-Polo, F.O. Alpak, B. Riviere
Hierarchical scale separation: A linear solver based on block relaxation and multigrid
Rice Oil & Gas HPC Conference, Mar. 4–6, 2019, Houston, TX, USA -
Poster: C. Thiele, M. Araya-Polo, F.O. Alpak, B. Riviere, F. Frank
Inexact hierarchical scale separation: An efficient linear solver for discontinuous Galerkin discretizations
SPE Reservoir Simulation Conference, Feb. 20–22, 2017, Montgomery, TX, USA
Theses
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MA thesis:
Inexact hierarchical scale separation for linear systems in modal discontinuous Galerkin discretizations
April 2018, Houston, TX, USA