Projekte: Optimierungstechniken für explizite Verfahren zur GPU-beschleunigten Lösung von Anfangswertproblemen gewöhnlicher Differenzialgleichungen (OTEGO)

Hacker, Oliver ; Korch, Matthias ; Seiferth, Johannes:
A Motivating Case Study on Code Variant Selection by Reinforcement Learning.
In: Varbanescu, Ana-Lucia ; Bhatele, Abhinav ; Luszczek, Piotr ; Marc, Baboulin (Hrsg.): High Performance Computing : Proceedings. - Cham : Springer, 2022 . - S. 293-312 . - (Lecture Notes in Computer Science ; 13289 )
DOI: https://doi.org/10.1007/978-3-031-07312-0_15

Korch, Matthias ; Raithel, Philipp ; Werner, Tim:
Implementation and Optimization of a 1D2V PIC Method for Nonlinear Kinetic Models on GPUs.
In: 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020 ; Proceedings. - Piscataway, NJ : IEEE, 2020 . - S. 30-37
DOI: https://doi.org/10.1109/PDP50117.2020.00012

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

Korch, Matthias ; Werner, Tim:
Multi-workgroup Tiling to Improve the Locality of Explicit One-Step Methods for ODE Systems with Limited Access Distance on GPUs.
In: Wyrzykowski, Roman ; Deelman, Ewa ; Dongarra, Jack ; Karczewski, Konrad (Hrsg.): Parallel Processing and Applied Mathematics : 13th International Conference, PPAM 2019 ; Revised Selected Papers. Part I. - Cham : Springer, 2020 . - S. 3-12 . - (Lecture Notes in Computer Science ; 12043 )
DOI: https://doi.org/10.1007/978-3-030-43229-4_1