Daniel Drzisga
Daniel Drzisga
Verified email at ma.tum.de
Title
Cited by
Cited by
Year
Scheduling massively parallel multigrid for multilevel Monte Carlo methods
D Drzisga, B Gmeiner, U Rüde, R Scheichl, B Wohlmuth
SIAM Journal on Scientific Computing 39 (5), S873-S897, 2017
292017
Scheduling massively parallel multigrid for multilevel Monte Carlo methods
D Drzisga, B Gmeiner, U Rüde, R Scheichl, B Wohlmuth
SIAM Journal on Scientific Computing 39 (5), S873-S897, 2017
292017
A stencil scaling approach for accelerating matrix-free finite element implementations
S Bauer, D Drzisga, M Mohr, U Rüde, C Waluga, B Wohlmuth
SIAM Journal on Scientific Computing 40 (6), C748-C778, 2018
232018
The HyTeG finite-element software framework for scalable multigrid solvers
N Kohl, D Thönnes, D Drzisga, D Bartuschat, U Rüde
International Journal of Parallel, Emergent and Distributed Systems 34 (5 …, 2019
222019
On the analysis of block smoothers for saddle point problems
D Drzisga, L John, U Rude, B Wohlmuth, W Zulehner
SIAM Journal on Matrix Analysis and Applications 39 (2), 932-960, 2018
212018
Hybrid parallel multigrid methods for geodynamical simulations
S Bauer, HP Bunge, D Drzisga, B Gmeiner, M Huber, L John, M Mohr, ...
Software for Exascale Computing-SPPEXA 2013-2015, 211-235, 2016
112016
Numerical modeling of compensation mechanisms for peripheral arterial stenoses
D Drzisga, T Köppl, U Pohl, R Helmig, B Wohlmuth
Computers in biology and medicine 70, 190-201, 2016
92016
The surrogate matrix methodology: Low-cost assembly for isogeometric analysis
D Drzisga, B Keith, B Wohlmuth
Computer Methods in Applied Mechanics and Engineering 361, 112776, 2020
82020
The surrogate matrix methodology: a priori error estimation
D Drzisga, B Keith, B Wohlmuth
SIAM Journal on Scientific Computing 41 (6), A3806-A3838, 2019
62019
The surrogate matrix methodology: A reference implementation for low-cost assembly in isogeometric analysis
D Drzisga, B Keith, B Wohlmuth
MethodsX 7, 100813, 2020
42020
Scheduling massively parallel multigrid for multilevel monte carlo methods
B Gmeiner, D Drzisga, U Ruede, R Scheichl, B Wohlmuth
arXiv preprint arXiv:1607.03252, 2016
42016
TerraNeo-Mantle Convection Beyond a Trillion Degrees of Freedom.
S Bauer, HP Bunge, D Drzisga, S Ghelichkhan, M Huber, N Kohl, M Mohr, ...
Software for Exascale Computing, 569-610, 2020
32020
The surrogate matrix methodology: Accelerating isogeometric analysis of waves
D Drzisga, B Keith, B Wohlmuth
Computer Methods in Applied Mechanics and Engineering 372, 113322, 2020
22020
Stencil scaling for vector-valued PDEs on hybrid grids with applications to generalized Newtonian fluids
D Drzisga, U Rüde, B Wohlmuth
SIAM Journal on Scientific Computing 42 (6), B1429-B1461, 2020
12020
Stencil Scaling for Vector-Valued PDEs with Applications to Generalized Newtonian Fluids
D Drzisga, U Rüde, B WOHLMUTH
arXiv preprint arXiv:1908.08666, 2019
12019
Semi matrix-free twogrid shifted Laplacian preconditioner for the Helmholtz equation with near optimal shifts
D Drzisga, T Köppl, B Wohlmuth
arXiv preprint arXiv:2104.01439, 2021
2021
Accelerating Isogeometric Analysis and Matrix-free Finite Element Methods Using the Surrogate Matrix Methodology
D Drzisga
Technical University of Munich, 2021
2021
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations
E Agullo, M Altenbernd, H Anzt, L Bautista-Gomez, T Benacchio, ...
arXiv preprint arXiv:2010.13342, 2020
2020
D5. 1 ExaQUte API for MLMC
D Drzisga, MT Parete, R Wüchner, R Rossi, C Soriano
2020
A Scalable and Modular Software Architecture for Finite Elements on Hierarchical Hybrid Grids
N Kohl, D Thönnes, D Drzisga, D Bartuschat, U Rüde
From Parallel to Emergent Computing, 177-198, 2019
2019
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Articles 1–20