M.Sc. Robert Kiesel
Anschrift
Technische Universität Chemnitz
Fakultät für Informatik
Str. der Nationen 62
09111 Chemnitz
Technische Universität Chemnitz
Fakultät für Informatik
Str. der Nationen 62
09111 Chemnitz
Kontakt
Projekte
Aktuelle Veröffentlichungen
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Hofmann, M.; Kiesel, R.; Kramer, R.; Rünger, G.; Schaller, T.: Performance Comparison of Parallel Sorting Algorithms for Data-intensive Particle Simulations using OpenCL. Erscheint in: International Conference on High Performance Computing & Simulation (HPCS 2020): S. . IEEE – ISSN . Barcelona, Spanien, 2021.
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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
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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
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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
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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
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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
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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