Publikationen 2018

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

Johannes Seiferth; Christie Alappat; Matthias Korch; Thomas Rauber:
Applicability of the ECM Performance Model to Explicit ODE Methods on Current Multi-core Processors
2018, Cham, Springer International Publishing, ISBN/ISSN/ISMV Nummer:978-3-319-92040-5 in: High Performance Computing , BIB

Thomas Rauber; G. Rünger:
A Scheduling Selection Process for Energy-efficient Task Execution on DVFS Processors
2018, Wiley, in: Concurrency and Computation: Practice and Experience, , BIB

Thomas Rauber; G. Rünger:
Energy and Performance Improvement of Parallel ODE Solvers by Application-specific Program Transformations
2018, IEEE, in: Proceedings of the 19th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-18) , BIB

Natalia Kalinnik; Thomas Rauber:
Execution Behavior Analysis of Parallel Schemes for Implicit Solution Methods for ODEs
2018, in: 2018 17th International Symposium on Parallel and Distributed Computing (ISPDC) , DOI: 10.1109/ISPDC2018.2018.00010 , 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

Natalia Kalinnik; R. Kiesel; Thomas Rauber; M. Richter; G. Rünger:
Exploring Self-Adaptivity towards Performance and Energy for Time-stepping Methods
2018, IEEE, in: Proceedings of the 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2018) , BIB

Thomas Rauber; G. Rünger:
How do loop transformations affect the energy consumption of Runge-Kutta methods?
2018, IEEE, ISBN/ISSN/ISMV Nummer:978-1-5386-4975-6 in: Proceedings of the 26th Euromicro International Conference on Parallel, Distributed, and Network-based Processing (PDP 2018) , DOI: 10.1109/PDP2018.2018.00085 , BIB

Natalia Kalinnik; Robert Kiesel; Thomas Rauber; Marcel Richter; Gudula Rünger:
On the Autotuning Potential of Time-stepping methods from Scientific Computing
2018, ACSIS, in: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018, Poznań, Poland , DOI: 10.15439/2018F169 , BIB

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