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Kalinnik, N.; Kiesel, R.; Rauber, T.; Richter, M.; Rünger, G.: A performance- and energy-oriented extended tuning process for time-step-based scientific applications. In: The Journal of Supercomputing, Bd. 76. Springer, August 2020. DOI: 10.1007/s11227-020-03402-y Onlineressource verfügbar

Kiesel, R.; Rünger, G.: Performance and Energy Evaluation of Parallel Particle Simulation Algorithms for Different Input Particle Data. In: Position Papers of the 2019 Federated Conference on Computer Science and Information Systems (FedCSIS 2019), 12th Workshop on Computer Aspects of Numerical Algorithms (CANA'19) (Bd. 19): S. 31-37. Leipzig, Deutschland, September 2019. DOI: 10.15439/2019F344 Onlineressource verfügbar

Hofmann, M.; Kiesel, R.; Leichsenring, D.; Rünger, G.: A Hybrid CPU/GPU Implementation of Computationally Intensive Particle Simulations Using OpenCL. In: Proceedings of the 17th IEEE International Symposium On Parallel And Distributed Computing (ISPDC 2018): S. 9-16. IEEE  –  ISBN 978-1-5386-5330-2. Genf, Schweiz, Juni 2018. DOI: 10.1109/ISPDC2018.2018.00011 Onlineressource verfügbar

Hofmann, M.; Kiesel, R.; Rünger, G.: Energy and Performance Analysis of Parallel Particle Solvers from the ScaFaCoS Library. In: Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering (ICPE 2018): S. 88-95. ACM  –  ISBN 978-1-4503-5095-2. Berlin, April 2018. DOI: 10.1145/3184407.3184409 Onlineressource verfügbar

Kalinnik, N.; Kiesel, R.; Rauber, T.; Richter, M.; Rünger, G.: Exploring Self-Adaptivity towards Performance and Energy for Time-stepping Methods. In: Proceedings of the 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2018): S. 115-123. IEEE  –  ISSN 1550-6533. Lyon, Frankreich, September 2018. DOI: 10.1109/CAHPC.2018.8645887 Onlineressource verfügbar

Kalinnik, N.; Kiesel, R.; Rauber, T.; Richter, M.; Rünger, G.: On the Autotuning Potential of Time-stepping methods from Scientific Computing. In: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems (FedCSIS 2018), 11th Workshop on Computer Aspects of Numerical Algorithms (CANA'18) (Bd. 15): S. 329-338. ACSIS  –  ISSN 2300-596. Posen, Polen, September 2018. DOI: 10.15439/2018F169 Onlineressource verfügbar