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Results: 220
Number of items: 220
  • 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
    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
    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
    Shen, Y. (2024). Resource-aware scheduling for 2D/3D multi-/many-core processor-memory systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    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
    Meuser, T., Lovén, L., Bhuyan, M., Patil, S. G., Dustdar, S., Aral, A., Bayhan, S., Becker, C., Lara, E. D., Ding, A. Y., Edinger, J., Gross, J., Mohan, N., Pimentel, A. D., Rivière, E., Schulzrinne, H., Simoens, P., Solmaz, G., & Welzl, M. (2024). Revisiting Edge AI: Opportunities and Challenges. IEEE Internet Computing, 28(4), 49-59. https://doi.org/10.1109/MIC.2024.3383758
  • 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
    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
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