E-LIB Suche - Ergebnisse für: Röhrig-Zöllner, Melven

1

SIMD vectorization for simultaneous solution of locally var..:

Kühn, Martin J. ; Holke, Johannes ; Lutz, Annette...
The Journal of Supercomputing. 79 (2023) 13 - p. 14684-14706 , 2023

Link: https://doi.org/10.1007/..

2

Performance of the Low-Rank TT-SVD for Large Dense Tensors ..:

Röhrig-Zöllner, Melven ; Thies, Jonas ; Basermann, Achim
SIAM Journal on Scientific Computing. 44 (2022) 4 - p. C287-C309 , 2022

Link: https://doi.org/10.1137/..

3

PHIST: A Pipelined, Hybrid-Parallel Iterative Solver Toolki:

Thies, Jonas ; Röhrig-Zöllner, Melven ; Overmars, Nigel...
ACM Transactions on Mathematical Software. 46 (2020) 4 - p. 1-26 , 2020

Link: https://doi.org/10.1145/..

4

ESSEX: Equipping Sparse Solvers For Exascale:

, In: Software for Exascale Computing - SPPEXA 2016-2019; Lecture Notes in Computational Science and Engineering,

Alappat, Christie L. ; Alvermann, Andreas ; Basermann, Achim... - p. 143-187 , 2020

Link: https://doi.org/10.1007/..

5

PHIST : A Pipelined, Hybrid-Parallel Iterative Solver To..:

Thies, Jonas ; Röhrig-Zöllner, Melven ; Overmars, Nigel...
ACM Transactions on Mathematical Software (TOMS). 46 (2020) 4 - p. 1-26 , 2020

Link: https://dl.acm.org/doi/1..

6

Automatic Differentiation in Multibody Helicopter Simulatio:

, In: Multibody Dynamics 2019; Computational Methods in Applied Sciences,

Kontak, Max ; Röhrig-Zöllner, Melven ; Hofmann, Johannes. - p. 534-542 , 2019

Link: https://doi.org/10.1007/..

7

Benefits from using mixed precision computations in the ELP..:

Alvermann, Andreas ; Basermann, Achim ; Bungartz, Hans-Joachim...
Japan Journal of Industrial and Applied Mathematics. 36 (2019) 2 - p. 699-717 , 2019

Link: https://doi.org/10.1007/..

8

Half-Explicit Exponential Runge–Kutta Methods for Index-1 D..:

Kohlwey, Elena ; Röhrig-Zöllner, Melven
Mathematics in Computer Science. 13 (2019) 3 - p. 341-365 , 2019

Link: https://doi.org/10.1007/..

9

GHOST: Building Blocks for High Performance Sparse Linear A..:

Kreutzer, Moritz ; Thies, Jonas ; Röhrig-Zöllner, Melven...
International Journal of Parallel Programming. 45 (2016) 5 - p. 1046-1072 , 2016

Link: https://doi.org/10.1007/..

10

Increasing the Performance of the Jacobi--Davidson Method b..:

Röhrig-Zöllner, Melven ; Thies, Jonas ; Kreutzer, Moritz...
SIAM Journal on Scientific Computing. 37 (2015) 6 - p. C697-C722 , 2015

Link: https://doi.org/10.1137/..

11

Performance and productivity of parallel python programming..:

, In: Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing,

Basermann, Achim ; Röhrig-Zöllner, Melven ; Illmer, Joachim - p. 1-10 , 2015

Link: https://dl.acm.org/doi/1..

12

Performance of linear solvers in tensor-train format on cur..:

Röhrig-Zöllner, Melven ; Becklas, Manuel Joey ; Thies, Jonas.
http://arxiv.org/abs/2312.08006. , 2023

Link: http://arxiv.org/abs/231..

13

Rotor Blade Modeling in a Helicopter Multi Body Simulation ..:

Weiß, Felix Armin ; Merlis, Joshua ; Lojewski, Reinhard..
https://elib.dlr.de/189690/1/Paper_036_Final_Submission_Felix_Weiss.pdf. , 2022

Link: https://elib.dlr.de/1896..

14

Performance of the low-rank tensor-train SVD (TT-SVD) for l..:

Röhrig-Zöllner, Melven ; Thies, Jonas ; Basermann, Achim
http://arxiv.org/abs/2102.00104. , 2021

Link: http://arxiv.org/abs/210..

15

(R)SE challenges in HPC:

Thies, Jonas ; Röhrig-Zöllner, Melven ; Basermann, Achim
http://arxiv.org/abs/2112.06617. , 2021

Link: http://arxiv.org/abs/211..