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Results: 218
Number of items: 218
  • 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
    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
    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
    Aghapour, E., Shen, Y., Sapra, D., Pimentel, A. D., & Pathania, A. (2024). PiQi: Partially Quantized DNN Inference on HMPSoCs. In Proceedings of the 29th International Symposium on Low Power Electronics and Design: August 5-7, 2024, Newport Beach CA, USA Association for Computing Machinery. https://doi.org/10.1145/3665314.3670841
  • 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., 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
    Swatman, S. N., Varbanescu, A.-L., Pimentel, A., Salzburger, A., & Krasznahorkay, A. (2023). Systematically Exploring High-Performance Representations of Vector Fields Through Compile-Time Composition. In ICPE '23: proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering : April 15-19, 2023, Coimbra, Portugal (pp. 55-66). The Association for Computing Machinery. https://doi.org/10.1145/3578244.3583723
  • Open Access
    Wasala, S. M., Niknam, S., Pathania, A., Grelck, C., & Pimentel, A. D. (2023). Lifetime Estimation for Core-Failure Resilient Multi-Core Processors. In MCSoC 2023: proceedings : 2023 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip : 18-21 December 2023, Singapore, Singapore (pp. 293-300). IEEE Computer Society. https://doi.org/10.1109/MCSoC60832.2023.00050
  • 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
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