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Results: 220
Number of items: 220
  • Open Access
    Sapra, D., & Pimentel, A. D. (2023). Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs. In C. Silvano, C. Pilato, & M. Reichenbach (Eds.), Embedded Computer Systems: Architectures, Modeling, and Simulation: 23rd International Conference, SAMOS 2023, Samos, Greece, July 2–6, 2023 : proceedings (pp. 72–87). (Lecture Notes in Computer Science; Vol. 14385). Springer. https://doi.org/10.1007/978-3-031-46077-7_6
  • 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
    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
    O'Connor, I., Wille, R., Pimentel, A. D., & Bertacco, V. (2023). Postpandemic Conferences: The DATE 2023 Experience. IEEE Design & Test, 40(5), 104-112. https://doi.org/10.1109/MDAT.2023.3287930
  • Open Access
    Pimentel, A. D. (2023). Embedded computersystemen explOratie.
  • 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
  • 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
    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
    Xiao, J., Xiang, Y., Wang, X., Luo, Y., Pimentel, A. D., & Wang, Z. (2023). FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance. In ACM ICS '23: Proceedings of the 37th International Conference on Supercomputing : June 21-23, 2023, Orlando, FL, USA (pp. 25-36). Association for Computing Machinery. https://doi.org/10.1145/3577193.3593740
  • 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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