Jonas Thies
Jonas Thies
Assistant Professor, TU Delft
Verified email at - Homepage
Cited by
Cited by
Capabilities and performance of Elmer/Ice, a newgeneration ice sheet model, Geosci. Model Dev., 6, 1299–1318
O Gagliardini, T Zwinger, F Gillet-Chaulet, G Durand, L Favier, ...
A recursive algebraic coloring technique for hardware-efficient symmetric sparse matrix-vector multiplication
C Alappat, A Basermann, AR Bishop, H Fehske, G Hager, O Schenk, ...
ACM Transactions on Parallel Computing (TOPC) 7 (3), 1-37, 2020
CRAFT: A library for easier application-level checkpoint/restart and automatic fault tolerance
F Shahzad, J Thies, M Kreutzer, T Zeiser, G Hager, G Wellein
IEEE Transactions on Parallel and Distributed Systems 30 (3), 501-514, 2018
GHOST: building blocks for high performance sparse linear algebra on heterogeneous systems
M Kreutzer, J Thies, M Röhrig-Zöllner, A Pieper, F Shahzad, M Galgon, ...
International Journal of Parallel Programming 45, 1046-1072, 2017
Increasing the performance of the Jacobi--Davidson method by blocking
M Röhrig-Zöllner, J Thies, M Kreutzer, A Alvermann, A Pieper, ...
SIAM Journal on Scientific Computing 37 (6), C697-C722, 2015
On the parallel iterative solution of linear systems arising in the FEAST algorithm for computing inner eigenvalues
M Galgon, L Krämer, J Thies, A Basermann, B Lang
Parallel Computing 49, 153-163, 2015
A robust two-level incomplete factorization for (navier–) stokes saddle point matrices
FW Wubs, J Thies
SIAM journal on matrix analysis and applications 32 (4), 1475-1499, 2011
Design of a parallel hybrid direct/iterative solver for CFD problems
J Thies, F Wubs
2011 IEEE Seventh International Conference on eScience, 387-394, 2011
Bifurcation analysis of 3D ocean flows using a parallel fully-implicit ocean model
J Thies, F Wubs, HA Dijkstra
Ocean modelling 30 (4), 287-297, 2009
The application of Jacobian-free Newton–Krylov methods to reduce the spin-up time of ocean general circulation models
E Bernsen, HA Dijkstra, J Thies, FW Wubs
Journal of Computational Physics 229 (21), 8167-8179, 2010
Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects
A Alvermann, A Basermann, HJ Bungartz, C Carbogno, D Ernst, H Fehske, ...
Japan Journal of Industrial and Applied Mathematics 36, 699-717, 2019
Performance engineering for real and complex tall & skinny matrix multiplication kernels on gpus
D Ernst, G Hager, J Thies, G Wellein
The International Journal of High Performance Computing Applications 35 (1 …, 2021
PHIST: a pipelined, hybrid-parallel iterative solver toolkit
J Thies, M Röhrig-Zöllner, N Overmars, A Basermann, D Ernst, G Hager, ...
ACM Transactions on Mathematical Software (TOMS) 46 (4), 1-26, 2020
Towards an exascale enabled sparse solver repository
J Thies, M Galgon, F Shahzad, A Alvermann, M Kreutzer, A Pieper, ...
Software for Exascale Computing-SPPEXA 2013-2015, 295-316, 2016
Performance engineering and energy efficiency of building blocks for large, sparse eigenvalue computations on heterogeneous supercomputers
M Kreutzer, J Thies, A Pieper, A Alvermann, M Galgon, M Röhrig-Zöllner, ...
Software for Exascale Computing-SPPEXA 2013-2015, 317-338, 2016
ESSEX: Equipping sparse solvers for exascale
A Alvermann, A Basermann, H Fehske, M Galgon, G Hager, M Kreutzer, ...
Euro-Par 2014: Parallel Processing Workshops: Euro-Par 2014 International …, 2014
Improved coefficients for polynomial filtering in ESSEX
M Galgon, L Krämer, B Lang, A Alvermann, H Fehske, A Pieper, G Hager, ...
Eigenvalue Problems: Algorithms, Software and Applications in Petascale …, 2017
Numerical bifurcation analysis of a 3D turing-type reaction–diffusion model
W Song, F Wubs, J Thies, S Baars
Communications in nonlinear science and numerical simulation 60, 145-164, 2018
Performance of the low-rank tt-svd for large dense tensors on modern multicore cpus
M Röhrig-Zöllner, J Thies, A Basermann
SIAM Journal on Scientific Computing 44 (4), C287-C309, 2022
Essex: Equipping sparse solvers for exascale
CL Alappat, A Alvermann, A Basermann, H Fehske, Y Futamura, ...
Software for Exascale Computing-SPPEXA 2016-2019, 143-187, 2020
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