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Results: 10
Number of items: 10
  • Open Access
    Roeder, J., Pimentel, A. D., & Grelck, C. (2023). GCN-based reinforcement learning approach for scheduling DAG applications. In I. Maglogiannis, L. Iliadis, J. MacIntyre, & M. Dominguez (Eds.), Artificial Intelligence Applications and Innovations : 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14–17, 2023 : proceedings (Vol. II, pp. 121–134). (IFIP Advances in Information and Communication Technology; Vol. 676). Springer. https://doi.org/10.1007/978-3-031-34107-6_10
  • Open Access
    Röder, J. P. (2023). Energy- and time-aware scheduling for heterogeneous high-performance embedded systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Roeder, J. P., Altmeyer, S. J., & Grelck, C. U. (2022, June 13). Energy Measurements of 9 Rodinia Benchmarks executed on the Odroid-XU4. [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19665564.v1
  • Open Access
    Roeder, J., Rouxel, B., & Grelck, C. (2021). Scheduling DAGs of Multi-version Multi-phase Tasks on Heterogeneous Real-time Systems. In 2021 IEEE 14th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip : MCSoC 2021: 20-23 December 2021, Singapore : proceedings (pp. 54-61). IEEE Computer Society. https://doi.org/10.1109/MCSoC51149.2021.00016
  • Open Access
    Roeder, J., Rouxel, B., Altmeyer, S., & Grelck, C. (2021). Energy-aware scheduling of multi-version tasks on heterogeneous real-time systems. In The 36th Annual ACM Symposium on Applied Computing: Virtual Conference : March 22–March 26, 2021 (pp. 501-510). ACM. https://doi.org/10.1145/3412841.3441930
  • Open Access
    Odyurt, U., Roeder, J., Pimentel, A. D., Gonzalez Alonso, I., & de Laat, C. (2021). Power passports for fault tolerance: Anomaly detection in industrial CPS using electrical EFB. In Proceedings 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS): online, 10-13 May, 2021 (pp. 152-157). IEEE. https://doi.org/10.1109/ICPS49255.2021.9468262
  • Roeder, J., Rouxel, B., Altmeyer, S., & Grelck, C. (2020). Towards Energy-, Time- and Security-Aware Multi-core Coordination. In S. Bliudze, & L. Bocchi (Eds.), Coordination Models and Languages: 22nd IFIP WG 6.1 International Conference, COORDINATION 2020, held as part of the 15th International Federated Conference on Distributed Computing Techniques, DisCoTec 2020, Valletta, Malta, June 15–19, 2020 : proceedings (pp. 57-74). (Lecture Notes in Computer Science; Vol. 12134). Springer. https://doi.org/10.1007/978-3-030-50029-0_4
  • Roeder, J., Rouxel, B., & Grelck, C. (2020). Q-learning for Statically Scheduling DAGs. In X. Wu, C. Jermaine, L. Xiong, X. Hu, O. Kotevska, S. Lu, W. Xu, S. Aluru, C. Zhai, E. Al-Masri, Z. Chen, & J. Saltz (Eds.), 2020 IEEE International Conference on Big Data: proceedings : Dec 10-Dec 13, 2020, virtual event (pp. 5813-5815). IEEE. https://doi.org/10.1109/BigData50022.2020.9378062
  • Open Access
    Seewald, A., Schultz, U. P., Roeder, J., Rouxel, B., & Grelck, C. (2019). Component-based computation-energy modeling for embedded systems. In Y. Smaragdakis (Ed.), SPLASH companion '19: proceedings companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity : October 20-25, 2019, Athens, Greece (pp. 5-6). Association for Computing Machinery. https://doi.org/10.1145/3359061.3362775
  • Open Access
    Roeder, J., Rouxel, B., Altmeyer, S., & Grelck, C. (2019). Interdependent multi-version scheduling in heterogeneous energy-aware embedded systems. In B. Rouxel, & A. Paolillo (Eds.), Proceedings of the 13th Junior Researcher Workshop on Real-Time Computing: JRWRTC 2019 : Toulouse, November 6-8, 2019 (pp. 45-48). INP ENSEEIHT. https://www.irit.fr/rtns2019/wp-content/uploads/2019/11/RTNS_Junior_Workshop.pdf#page=50
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