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Results: 220
Number of items: 220
  • Open Access
    Baneshi, S., Pathania, A., Akesson, B., Pimentel, A., & Varbanescu, A.-L. (2024). Analyzing Per-Application Energy Consumption in a Multi-Application Computing Continuum. In M. Quwaider, S. Alawadi, & Y. Jararweh (Eds.), 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC): 2-5 September, 2024, Malmö, Sweden (pp. 30-37). IEEE. https://doi.org/10.1109/FMEC62297.2024.10710253
  • Open Access
    Saadatmand, F. S., Stefanov, T., González Alonso, I., Pimentel, A. D., Akesson, B., Herget, M., & Bor, M. (2024). Automated Derivation of Application Workload Models for Design Space Exploration of Industrial Distributed Cyber-Physical Systems. In 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS) (pp. 76-83). IEEE. https://doi.org/10.1109/ICPS59941.2024.10639941
  • 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
    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
    Guo, X., Jiang, Q., Pimentel, A. D., & Stefanov, T. (2024). RobustDiCE: Robust and Distributed CNN Inference at the Edge. In Proceedings 29th Asia and South Pacific Design Automation Conference (ASP-DAC 2024): date, January 22-25, 2024, place, Songdo Convensia Incheon, Korea (pp. 26-31). IEEE. https://doi.org/10.1109/ASP-DAC58780.2024.10473970
  • 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
    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
    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
    van Dijk, J., Zavodszky, G., Varbanescu, A.-L., Pimentel, A. D., & Hoekstra, A. (2023). Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations. In R. Wyrzykowski, J. Dongarra, E. Deelman, & K. Karczewski (Eds.), Parallel Processing and Applied Mathematics: 14th International Conference, PPAM 2022, Gdansk, Poland, September 11–14, 2022 : revised selected papers (Vol. I, pp. 183-196). (Lecture Notes in Computer Science; Vol. 13826). Springer. https://doi.org/10.1007/978-3-031-30442-2_14
  • 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
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