Johannes Seiferth, M.Sc.


Phone: +49 (0) 921/55-7707
Fax: +49 (0) 921/55-7702
Room: 2.12
Building: Angew-Inf



Johannes Seiferth; Matthias Korch; Thomas Rauber:
Offsite Autotuning Approach -- Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods
2020, Cham, Springer International Publishing, in: High Performance Computing. ISC High Performance 2020 , BIB

Markus Scherg; Johannes Seiferth; Matthias Korch; Thomas Rauber:
Performance Prediction of Explicit ODE Methods on Multi-Core Cluster Systems
2019, New York, NY, USA, Association for Computing Machinery, ISBN/ISSN/ISMV Nummer:9781450362399 in: Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering , DOI: 10.1145/3297663.3310306 , 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

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