Search results
Results: 220
Number of items: 220
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Pimentel, A. D. (2022). Methodologies for Design Space Exploration. In A. Chattopadhyay (Ed.), Handbook of Computer Architecture (Living ed.). Springer. https://doi.org/10.1007/978-981-15-6401-7_23-1 -
Swatman, S. N., Varbanescu, A.-L., Krasznahorkay, A., & Pimentel, A. (2022). Modelling Performance Loss due to Thread Imbalance in Stochastic Variable-Length SIMT Workloads. In 2022 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems: MASCOTS 2022 : Nice, France, 18-20 October 2022 : proceedings (pp. 137-144). IEEE. https://doi.org/10.1109/MASCOTS56607.2022.00026 -
van Rooij, M., van Rooij, S., Bouma, H., & Pimentel, A. (2022). Secure Sparse Gradient Aggregation in Distributed Architectures. In J. Lloret, L. Boubchir, Y. Jararweh, E. Benkhelifa, & I. Saleh (Eds.), 2022 Ninth International Conference on Internet of Things: Systems, Management and Security (IOTSMS): Milan, Italy. Nov 28th to Dec 1st 2022 (pp. 128-135). IEEE. https://doi.org/10.1109/IOTSMS58070.2022.10062180 -
Xiao, J., Shen, Y., & Pimentel, A. D. (2022). Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems. ACM Transactions on Embedded Computing Systems, 21(3), Article 28. https://doi.org/10.1145/3487581 -
van Dommelen, X. M., van der Bijl, M., & Pimentel, A. (2022). Model-Based Testing of Internet of Things Protocols. In J. F. Groote, & M. Huisman (Eds.), Formal Methods for Industrial Critical Systems: 27th International Conference, FMICS 2022, Warsaw, Poland, September 14–15, 2022 : proceedings (pp. 172-189). (Lecture Notes in Computer Science; Vol. 13487). Springer. https://doi.org/10.1007/978-3-031-15008-1_12 -
Sapra, D., & Pimentel, A. D. (2022). Designing convolutional neural networks with constrained evolutionary piecemeal training. Applied Intelligence, 52(15), 17103–17117. https://doi.org/10.1007/s10489-021-02679-7 -
Shen, Y., Xiao, J., & Pimentel, A. D. (2022). TCPS: A Task and Cache-aware Partitioned Scheduler for Hard Real-time Multi-core Systems. In T. Grosser, & K. Lee (Eds.), LCTES '22: proceedings of the 23rd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems : June 14, 2022, San Diego, CA, USA (pp. 37-49). Association for Computing Machinery. https://doi.org/10.1145/3519941.3535067 -
van Ipenburg, I., Sapra, D., & Pimentel, A. D. (2021). Exploring Cell-Based Neural Architectures for Embedded Systems. In M. Kamp, I. Koprinska, A. Bibal, T. Bouadi, B. Frénay, L. Galárraga, J. Oramas, & L. Adilova (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings (Vol. I, pp. 363–374). (Communications in Computer and Information Science; Vol. 1524). Springer. https://doi.org/10.1007/978-3-030-93736-2_28 -
Odyurt, U., Roeder, J., Pimentel, A. D., Gonzalez Alonso, I., & de Laat, C. (2021). Power passports for fault tolerance: Anomaly detection in industrial CPS using electrical EFB. In Proceedings 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS): online, 10-13 May, 2021 (pp. 152-157). IEEE. https://doi.org/10.1109/ICPS49255.2021.9468262
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