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Results: 110
Number of items: 110
  • 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
  • Rouxel, B., Altmeyer, S., & Grelck, C. (2021). YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms. In Middleware '21: proceedings of the 2021 22nd International Middleware Conference : December 6-10, 2021, Québec city, QC, Canada (pp. 298-309). The Association for Computing Machinery. https://doi.org/10.1145/3464298.3493402
  • Miedema, L., Rouxel, B., & Grelck, C. (2021). Task-Level Redundancy vs Instruction-Level Redundancy against Single Event Upsets in Real-Time DAG Scheduling. In 2021 IEEE 14th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip : MCSoC 2021: 20-23 December 2021, Singapore : proceedings (pp. 373-380). IEEE Computer Society. https://doi.org/10.1109/MCSoC51149.2021.00062
  • 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
  • Amaral, V., Norberto, B., Goulão, M., Aldinucci, M., Benkner, S., Bracciali, A., Carreira, P., Celms, E., Correia, L., Grelck, C., Karatza, H., Kessler, C., Kilpatrick, P., Martiniano, H., Mavridis, I., Pllana, S., Respício, A., Simão, J., Veiga, L., & Visa, A. (2020). Programming languages for data-Intensive HPC applications: A systematic mapping study. Parallel Computing, 91, Article 102584. https://doi.org/10.1016/j.parco.2019.102584
  • 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
    Loeve, W., & Grelck, C. (2020). Towards Facilitating Resilience in Cyber-physical Systems using Coordination Languages. In E. Constantinou (Ed.), Proceedings of the 13th Seminar Series on Advanced Techniques & Tools for Software Evolution: Amsterdam, Netherlands, July 1-2, 2020 (due to COVID-19: virtual event) Article 7 (CEUR Workshop Proceedings; Vol. 2754). CEUR-WS. http://ceur-ws.org/Vol-2754/paper7.pdf
  • Open Access
    Grelck, C., & Blom, C. (2020). Resource-aware Data Parallel Array Processing. International Journal of Parallel Programming, 48(4), 652-674. https://doi.org/10.1007/s10766-020-00664-0
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