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Center for Data and Simulation Science

Efficient code execution is not (just) determined by the algorithm and the clock speed of the CPU. The execution environment (such as the Operating System) contributes to a large extent to the performance factor by wrong alignment to the hardware infrastructure, by execution strategies targeting different application cases, by isolating resources etc. The research group around Lutz Schubert focuses on efficient distributed and parallel execution of applications on heterogeneous systems. Together with the Brandenburg University of Technology, Cottbus-Senftenberg the group maintains a highly efficient, distributed Operating System, MyThOS.

Lutz Schubert furthermore is engaged in methods for modelling and analysis in digital archaeology. Archaeology and humanities still pose many issues to computer science that cannot be addressed by traditional IT and therefore fall into the domain of complex systems. This includes modelling of non-deterministic events from highly limited data, such as reasoning over possible interpretations from excavation data. Human behaviour is unpredictable, but constrained by technical and physical limitations which determines the scope of plausible actions. Archaeology provides piecewise evidence of consequences of such actions which leads to a highly complex chain of potential cause and effects. Lutz Schubert is chair of CAA (Computer Applications and quantitative methods in Archaeology), Germany.

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Modular deployment of the MyThOS execution environment over a distributed system [Schubert et al., 2019]
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Reasoning over material distribution in a prehistoric "midden" (collection of sea-shells) [Schubert et al., 2017]

Selected publications

  1.  Tsitsipas, A., Schubert, L., 2021. Towards Commonsense Reasoning in AAL Environments, in: Stephanidis, C., Antona, M., Ntoa, S. (Eds.), HCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Virtual Event, July 24-29, 2021, Proceedings, Part II, Communications in Computer and Information Science. Springer, pp. 567–572. https://doi.org/10.1007/978-3-030-78642-7_76

  2. Schubert, L., Tsitsipas, A., Trognitz, M., Jeffery, K., 2020. The impact of probability on archaeological interpretation. Presented at the International Conference of Numerical Analysis And Applied Mathematics ICNAAM 2019, Rhodes, Greece, p. 040004. https://doi.org/10.1063/5.0031304

  3. Schubert, L., Bonfert, S., Wesner, S., 2019. Modular Operating Systems for Large-Scale, Distributed, and Heterogeneous Environments, in: Terzo, O., Djemame, K., Scionti, A., Pezuela, C. (Eds.), Heterogeneous Computing Architectures: Challenges and Vision. Taylor & Francis, Boca Raton.

  4. Schubert, L., Predoi, A., Jeffery, K., 2017. Analysing the archaeological context: Reconstructing stratigraphic layers, in: AIP Conference Proceedings. Presented at the International Conference of Numerical Analysis and Applied Mathematics (ICNAAM), AIP Publishing, Rhodes, Greece. https://doi.org/10.1063/1.4992196

  5. Schubert, L., Jeffery, K., Hunt, G., 2017a. Challenges for Advanced Applications in Archaeology, in: Proceedings of INFOCOMP 2017. Presented at the Advanced Communications and Computation. International Conference, Curran Associates, pp. 29–34.

  6. Schubert, L., Wesner, S., Bonilla, D.R., Cucinotta, T., 2017b. Autonomic Distribution and Adaptation, in: Pllana, S., Xhafa, F. (Eds.), Programming Multi-Core and Many-Core Computing Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, pp. 227–240. https://doi.org/10.1002/9781119332015.ch11

  7. Cucinotta, T., Lipari, G., Schubert, L., 2017c. Operating System and Scheduling for Future Multicore and Many-Core Platforms, in: Pllana, S., Xhafa, F. (Eds.), Programming Multi-Core and Many-Core Computing Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, pp. 451–473. https://doi.org/10.1002/9781119332015.ch22

  8. Rotta, R., Nolte, J., Nikolov, V., Schubert, L., Bonfert, S., Wesner, S., 2016. MyThOS — Scalable OS Design for Extremely Parallel Applications, in: 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), IEEE, Toulouse, pp. 1165–1172. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0179

  9. Schubert, L., Wesner, S., Kipp, A., Arenas, A., 2010. Self-managed Microkernels: From Clouds towards Resource Fabrics, in: Avresky, D.R., Diaz, M., Bode, A., Ciciani, B., Dekel, E. (Eds.), Cloud Computing, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering. Presented at the CloudComp, Springer, Berlin, Heidelberg, pp. 167–185. https://doi.org/10.1007/978-3-642-12636-9_12