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Results: 220
Number of items: 220
  • Open Access
    Röder, J. P. (2023). Energy- and time-aware scheduling for heterogeneous high-performance embedded systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Shen, Y., Schreuders, L., Pathania, A., & Pimentel, A. D. (2023). Thermal Management for 3D-Stacked Systems via Unified Core-Memory Power Regulation. ACM Transactions on Embedded Computing Systems, 22(5s), Article 120. https://doi.org/10.1145/3608040
  • Open Access
    Baneshi, S., Varbanescu, A.-L., Pathania, A., Akesson, B., & Pimentel, A. (2023). Estimating the Energy Consumption of Applications in the Computing Continuum with iFogSim. In A. Bienz, M. Weiland, M. Baboulin, & C. Kruse (Eds.), High Performance Computing: ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21–25, 2023 : revised selected papers (pp. 234–249). (Lecture Notes in Computer Science; Vol. 13999). Springer. https://doi.org/10.1007/978-3-031-40843-4_18
  • Open Access
    Xiao, J., Xiang, Y., Wang, X., Luo, Y., Pimentel, A. D., & Wang, Z. (2023). FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance. In ACM ICS '23: Proceedings of the 37th International Conference on Supercomputing : June 21-23, 2023, Orlando, FL, USA (pp. 25-36). Association for Computing Machinery. https://doi.org/10.1145/3577193.3593740
  • Open Access
    Guo, X., Pimentel, A. D., & Stefanov, T. (2023). Automated Exploration and Implementation of Distributed CNN Inference at the Edge. IEEE Internet of Things Journal, 10(7), 5843-5858. https://doi.org/10.48550/arXiv.2207.12113, https://doi.org/10.1109/JIOT.2023.3237572
  • Open Access
    Aghapour, E., Sapra, D., Pimentel, A., & Pathania, A. (2022). CPU-GPU Layer-Switched Low Latency CNN Inference. In H. Fabelo, S. Ortega, & A. Skavhaug (Eds.), 2022 25th Euromicro Conference on Digital System Design: DSD 2022 : 31 August-2 September 2022, Maspalomas, Spain : proceedings (pp. 324-331). IEEE Computer Society. https://doi.org/10.1109/DSD57027.2022.00051
  • Open Access
    Sapra, D. (2022). Efficient neural architectures for edge devices. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Odyurt, U., Pimentel, A. D., & Gonzalez Alonso, I. (2022). Improving the robustness of industrial Cyber-Physical Systems through machine learning-based performance anomaly identification. Journal of Systems Architecture, 131, Article 102716. https://doi.org/10.1016/j.sysarc.2022.102716
  • Open Access
    Herget, M., Saadatmand, F. S., Bor, M., González Alonso, I., Stefanov, T., Akesson, B., & Pimentel, A. D. (2022). Design Space Exploration for Distributed Cyber-Physical Systems: State-of-the-art, Challenges, and Directions. In H. Fabelo, S. Ortega, & A. Skavhaug (Eds.), 2022 25th Euromicro Conference on Digital System Design: DSD 2022 : 31 August-2 September 2022, Maspalomas, Spain : proceedings (pp. 632-640). IEEE Computer Society. https://doi.org/10.1109/DSD57027.2022.00090
  • Open Access
    Minakova, S., Sapra, D., Stefanov, T., & Pimentel, A. D. (2022). Scenario Based Run-time Switching for Adaptive CNN-based Applications at the Edge. ACM Transactions on Embedded Computing Systems, 21(2), Article 14. https://doi.org/10.1145/3488718
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