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Results: 220
Number of items: 220
  • Open Access
    Pimentel, A., Grelck, C., Miedema, L., Sapra, D., Völp, M., Lucchetti, F., Matovic, A., Maggio, M., Vreman, N., Altmeyer, S., Haas, F., Casimiro, A., Cecílio, J., Jäger, G., Espindola, A., Skalistis, S., Kouwer, J., de Lange, G., Almeida, J., ... Novobílský, P. (2023). The ADMORPH Approach for Adaptively Morphing Embedded Systems. Ada Letters, 43(2), 78–83. https://doi.org/10.1145/3672359.3672372
  • 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
    Röder, J. P. (2023). Energy- and time-aware scheduling for heterogeneous high-performance embedded systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Guo, X., Pimentel, A. D., & Stefanov, T. (2023). Hierarchical Design Space Exploration for Distributed CNN Inference at the Edge. In I. Koprinska, P. Mignone, R. Guidotti, S. Jaroszewicz, H. Fröning, F. Gullo, P. M. Ferreiro, & D. Roqueiro (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022 : proceedings (Vol. I, pp. 545–556). (Communications in Computer and Information Science; Vol. 1752). Springer. https://doi.org/10.1007/978-3-031-23618-1_36
  • 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
    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
    Xiao, J., Shen, Y., & Pimentel, A. D. (2022). Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems. ACM Transactions on Embedded Computing Systems, 21(3), Article 28. https://doi.org/10.1145/3487581
  • Open Access
    Pimentel, A. D. (2022). Methodologies for Design Space Exploration. In A. Chattopadhyay (Ed.), Handbook of Computer Architecture (Living ed.). Springer. https://doi.org/10.1007/978-981-15-6401-7_23-1
  • Open Access
    Sapra, D., & Pimentel, A. D. (2022). Designing convolutional neural networks with constrained evolutionary piecemeal training. Applied Intelligence, 52(15), 17103–17117. https://doi.org/10.1007/s10489-021-02679-7
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