Projects: Selbstadaption für zeitschrittbasierte Simulationstechniken auf heterogenen HPC-Systemen (SeASiTe)

Alappat, Christie L. ; Seiferth, Johannes ; Hager, Georg ; Korch, Matthias ; Rauber, Thomas ; Wellein, Gerhard:
YaskSite : Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures.
In: Lee, Jae W. ; Soffa, Mary Lou ; Zaks, Ayal (ed.): 2021 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) : Proceedings. - Piscataway, NJ , 2021 . - pp. 174-186
DOI: https://doi.org/10.1109/CGO51591.2021.9370316

Seiferth, Johannes ; Korch, Matthias ; Rauber, Thomas:
Offsite Autotuning Approach : Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods.
In: Sadayappan, Ponnuswamy ; Chamberlain, Bradford L. ; Juckeland, Guido ; Ltaief, Hatem (ed.): High Performance Computing. - Cham : Springer, 2020 . - pp. 370-390 . - (Lecture Notes in Computer Science ; 12151 )
DOI: https://doi.org/10.1007/978-3-030-50743-5_19

Scherg, Markus ; Seiferth, Johannes ; Korch, Matthias ; Rauber, Thomas:
Performance Prediction of Explicit ODE Methods on Multi-Core Cluster Systems.
In: Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering. - New York, NY : ACM, 2019 . - pp. 139-150
DOI: https://doi.org/10.1145/3297663.3310306