Dr. Robert Dietze

Current Projects

• Merge Technologiefusion für multifunktionale Leichtbaustrukturen (MERGE)

Publications

• Dietze, R.; Kränert, M.: Parallel Ant Colony Optimization for Scheduling Independent Tasks. In: Lecture Notes in Networks and Systems: Innovations in Bio-Inspired Computing and Applications (IBICA 2022).: pp. 363-372. Springer Nature Switzerland  –  ISBN 978-3-031-27499-2. Online, March 2023. DOI: 10.1007/978-3-031-27499-2_34 Online resource available

  
• Dietze, R.; Kränert, M.: Parallel Swarm-Based Algorithms for Scheduling Independent Tasks. In: International Journal of Hybrid Intelligent Systems, vol. 19: pp. 79-93. IOS Press  –  ISSN 1875-8819, 2023. DOI: 10.3233/HIS-230006 Online resource available

  

• Dietze, R.: Suchbasierte Algorithmen für das Scheduling unabhängiger paralleler Tasks, TU Chemnitz, Fakultät für Informatik, Doctoral thesis, 2022. Online resource available

  

• Dietze, R.; Rünger, G.: The Search-based Scheduling Algorithm HP* for Parallel Tasks on Heterogeneous Platforms. In: Concurrency and Computation: Practice and Experience. Wiley, 2020. DOI: 10.1002/cpe.5898 Online resource available

  

• Dietze, R.; Rünger, G.: Search-based Scheduling for Parallel Tasks on Heterogenous Platforms. In: Euro-Par 2019: Parallel Processing Workshops: pp. 333-344. Springer  –  ISBN 978-3-030-48340-1. Göttingen, Germany, August 2019. DOI: 10.1007/978-3-030-48340-1_26 Online resource available

  

  

• Dietze, R.; Hofmann, M.; Rünger, G.: Analysis and Modeling of Resource Contention Effects based on Benchmark Applications. In: International Conference on High Performance Computing & Simulation (HPCS 2018), Special Session on High Performance Computing Benchmarking and Optimization (HPBench 2018): pp. 330-337. IEEE  –  ISBN 978-1-5386-7879-4. Orléans, France, July 2018. DOI: 10.1109/HPCS.2018.00062 Online resource available

  

• Dietze, R.; Goldberg, N.; Herzog, R.; Hofmann, M.; Ihlemann, J.; Meyer, A.; Ospald, F.; Rünger, G.; Springer, R.: Integrating models for fiber reinforced materials into Finite Element simulations. In: Proceedings of the 3rd International MERGE Technologies Conference for Lightweight Structures (IMTC 2017). Verlag Wissenschaftliche Scripten  –  ISBN 978-3-95735-066-4, September 2017.

  
• Dietze, R.; Hofmann, M.; Rünger, G.: Resource contention aware execution of multiprocessor tasks on heterogeneous platforms. In: Proceedings of the 15th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (Heteropar'2017): pp. 390-402. Springer  –  ISBN 978-3-319-75178-8. Santiago de Compostela, Spain, August 2017 (published 2018). DOI: 10.1007/978-3-319-75178-8_32 Online resource available

  

  
• Dietze, R.; Hofmann, M.; Rünger, G.: Resource Contention Aware Scheduling of Multiprocessor Tasks on Heterogeneous Platforms. Poster presented at PhD Forum, International Supercomputing Conference: High Performance (ISC 2017). Frankfurt, Germany, June 2017. DOI: 10.13140/RG.2.2.32630.91200 Online resource available

  
• Dietze, R.; Hofmann, M.; Rünger, G.: Integrating generic FEM simulations into complex simulation applications. In: Scalable Computing: Practice and Experience, Special issue on High Performance Computing Solutions for Complex Problems, vol. 18, no. 2: pp. 133-144. Universitatea de Vest din Timisoara  –  ISSN 1895-1767, 2017. DOI: 10.12694/scpe.v18i2.1285 Online resource available

  

  
• Rünger, G.; Dietze, R.; Hofmann, M.; Jakobs, T.: Ökologische und ökonomische Nachhaltigkeit in rechenintensiven Anwendungsprogrammen. Poster presented at "Go Next!" - Tag der Nachhaltigkeit an der TU Chemnitz. In: Ökologische, ökonomische und soziale Nachhaltigkeit an der TU Chemnitz, Posterband mit Beiträgen aus Lehre, Forschung, Administration und von universitären Interessensgruppen: pp. 43-45  –  ISBN 978-3-96100-037-1. Chemnitz, Germany, June 2017. URN: urn:nbn:de:bsz:ch1-qucosa-229689 Online resource available

  

  

• Dietze, R.; Hofmann, M.; Rünger, G.: Water-Level scheduling for parallel tasks in compute-intensive application components. In: The Journal of Supercomputing, Special Issue on Sustainability on Ultrascale Computing Systems and Applications, vol. 72, no. 11: pp. 4047-4068. Springer  –  ISSN 1573-0484, 2016. DOI: 10.1007/s11227-016-1711-1 Online resource available

  

  

• Dietze, R.; Hofmann, M.; Rünger, G.: Exploiting Heterogeneous Compute Resources for Optimizing Lightweight Structures. In: Blas, J. G.; Carretero, J.; Jeannot, E.; Wyrzykowski, R. (Eds.): Proceedings of the 2nd International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015): pp. 127-134  –  ISBN 978-84-608-2581-4. Krakow, Poland, September 2015. Online resource available