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Results: 217
Number of items: 217
  • Open Access
    Guo, X., Jiang, Q., Shen, Y., Pimentel, A. D., & Stefanov, T. (2024). EASTER: Learning to Split Transformers at the Edge Robustly. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43(11), 3626-3637. https://doi.org/10.1109/TCAD.2024.3438995
  • Open Access
    Swatman, S. N., Varbanescu, A.-L., Pimentel, A. D., Salzburger, A., & Krasznahorkay, A. (2024). Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays. In ICPE '24: Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering : May 7-11, 2024, London, United Kingdom (pp. 83–94). Association for Computing Machinery. https://doi.org/10.48550/arXiv.2309.07002, https://doi.org/10.1145/3629526.3645034
  • Open Access
    Pimentel, A. D., Bertacco, V., Todri-Sanial, A., & Theocharides, T. (2024). DATE 2024: Consolidating the New Conference Format. IEEE Design & Test, 41(5), 87-94. https://doi.org/10.1109/MDAT.2024.3394320
  • Open Access
    Shen, Y. (2024). Resource-aware scheduling for 2D/3D multi-/many-core processor-memory systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Khandel, P., Yates, A., Varbanescu, A.-L., de Rijke, M., & Pimentel, A. (2024). Distillation vs. Sampling for Efficient Training of Learning to Rank Models. In ICTIR '24: Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval : July 13, 2024 Washington, DC, USA (pp. 51-60). The Association for Computing Machinery. https://doi.org/10.1145/3664190.3672527
  • 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
    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
    Aghapour, E., Sapra, D., Pimentel, A. D., & Pathania, A. (2023). PELSI: Power-Efficient Layer-Switched Inference. In 2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications: RTCSA 2023 : Niigata, Japan, 30 August -1 September 2023 : proceedings (pp. 12-17). IEEE Computer Society. https://doi.org/10.1109/RTCSA58653.2023.00011
  • 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
    Niknam, S., Shen, Y., Pathania, A., & Pimentel, A. D. (2023). 3D-TTP: Efficient Transient Temperature-Aware Power Budgeting for 3D-Stacked Processor-Memory Systems. In 2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2023): Foz do Iguaccu, Brazil, 20-23 June 2023 (pp. 235-240). IEEE. https://doi.org/10.1109/ISVLSI59464.2023.10238664
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