Tim Werner, M.Sc.

Contact

Email: tim1.werner@uni-bayreuth.de
Phone: +49 (0) 921/55-7711
Fax: +49 (0) 921/55-7702
Room: 2.15
Building: Angew-Inf

Projects

Publications

Matthias Korch; Tim Werner:
Improving locality of explicit one-step methods on GPUs by tiling across stages and time steps
2020, in: Future Generation Computer Systems, Bd.:102, S.: 889  -  901 , DOI: https://doi.org/10.1016/j.future.2019.07.075 , BIB

Matthias Korch; Tim Werner:
An in-depth introduction of multi-workgroup tiling for improving the locality of explicit one-step methods for ODE systems with limited access distance on GPUs
2020, in: Concurrency and Computation: Practice and Experience, Bd.:n/a, Hnr.: n/a, , DOI: 10.1002/cpe.6016 , BIB

Matthias Korch; Tim Werner:
Multi-workgroup Tiling to Improve the Locality of Explicit One-Step Methods for ODE Systems with Limited Access Distance on GPUs
2020, Cham, Springer International Publishing, ISBN/ISSN/ISMV Nummer:978-3-030-43229-4 in: Parallel Processing and Applied Mathematics , BIB

Matthias Korch; Philipp Raithel; Tim Werner:
Implementation and Optimization of a 1D2V PIC Method for Nonlinear Kinetic Models on GPUs
2020, in: , DOI: 10.1109/PDP50117.2020.00012 , BIB

Matthias Korch; Tim Werner:
Exploiting Limited Access Distance for Kernel Fusion Across the Stages of Explicit One-Step Methods on GPUs
2018, in: Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2018) , BIB

Matthias Korch; Tim Werner:
Accelerating explicit ODE methods on GPUs by kernel fusion
2018, in: Concurrency and Computation: Practice and Experience, Bd.:30, Hnr.: 18, , DOI: 10.1002/cpe.4470 , BIB

Matthias Korch; Tim Werner:
Efficient GPU-based Smoothed Particle Hydrodynamics
2017, in: International Workshop on Parallel Numerics (PARNUM 2017) , DOI: 10.13140/RG.2.2.21647.48806 , BIB

Matthias Korch; Thomas Rauber; Matthias Stachowski; Tim Werner:
Influence of locality on the scalability of method- and system-parallel explicit peer methods [Awarded]
2016, in: 2016 Federated Conference on Computer Science and Information Systems (FedCSIS) , BIB

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