Search results

    Filter results

  • Full text

  • Document type

  • Publication year

  • Organisation

Results: 220
Number of items: 220
  • Open Access
    Batool, K., Anwar, S., Regazzoni, F., Pimentel, A., & Mann, Z. Á. (2026). SwiftSNNI: Optimized Scheduling for Secure Neural Network Inference (SNNI) on Multi-Core Systems. In ICPE '26: Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering : May 4-8, 2026, Florence, Italy (pp. 120-134). Association for Computing Machinery. https://doi.org/10.1145/3777884.3797005
  • Open Access
    Peltonen, E., Bayhan, S., Bermbach, D., Buschjager, S., Degeler, V., Ding, A. Y., Incel, Ö. D., Katare, D., Kjargaard, M. B., Leroux, S., Mahmoodi, T., Mann, Z. Á., Meratnia, N., Pimentel, A. D., Rellermeyer, J. S., Rivière, E., Sapra, D., Solmaz, G., & van der Waaij, B. (2025). Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. IEEE Internet Computing, 29(2), 8-18. https://doi.org/10.1109/MIC.2025.3566642
  • Open Access
    Khandel, P., Yates, A. C., Varbanescu, A. L., de Rijke, M., & Pimentel, A. D. (2025). PEIR: Modeling Performance in Neural Information Retrieval. In C. Hauff, C. Macdonald, D. Jannach, G. Kazai, F. M. Nardini, F. Pinelli, F. Silvestri, & N. Tonellotto (Eds.), Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 202 : proceedings (Vol. II, pp. 279-294). (Lecture Notes in Computer Science; Vol. 15573). Springer. https://doi.org/10.1007/978-3-031-88711-6_18
  • Open Access
    Saadatmand, F. S., Stefanov, T., González Alonso, I., Pimentel, A. D., & Akesson, B. (2025). CompDSE: A Methodology for Design Space Exploration of Computing Subsystems Within Complex Cyber-Physical Systems. IET Cyber-Physical Systems: Theory and Applications, 10(1), Article e70019. https://doi.org/10.1049/cps2.70019
  • Open Access
    Saadatmand, F. S., Stefanov, T., Pimentel, A. D., Akesson, B., & González Alonso, I. (2025). Unraveling Parallelism in Automated Workload Modeling for Distributed Cyber-Physical Systems. In D. Casini, & F. J. Cazorla (Eds.), 2025 28th Euromicro Conference on Digital System Design : DSD 2025: 10-12 September, 2025, Salerno, Italy : proceedings (pp. 24-33). IEEE Computer Society. https://doi.org/10.1109/DSD67783.2025.00016
  • Open Access
    Shen, Y., Bi, Q., Huang, J.-H., Zhu, H., Pimentel, A. D., & Pathania, A. (2025). SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: proceedings of the conference: NAACL 2025 : April 29-May 4, 2025 (Vol. 1, pp. 10400–10415). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.naacl-long.522
  • Open Access
    Wasala, S. M., Wolff, J., Shen, Y., Pathania, A., Grelck, C., & Pimentel, A. D. (2025). Energy-Efficient QoS-Aware Scheduling for S-NUCA Many-Cores. In Proceedings of the Twenty Sixth International Symposium on Quality Electronic Design: ISQED 2025 : April 23-25, 2025, San Francisco, California USA (pp. 599-606). IEEE. https://doi.org/10.48550/arXiv.2505.23351, https://doi.org/10.1109/ISQED65160.2025.11014379
  • Open Access
    Shen, Y., Bi, Q., Huang, J.-H., Zhu, H., Pimentel, A. D., & Pathania, A. (2025). MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : proceedings of the conference: ACL 2025 : July 27-August 1, 2025 (Vol. 1, pp. 20602–20618). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-long.1006
  • Open Access
    van Dijk, J., Zavodszky, G., Varbanescu, A.-L., & Pimentel, A. (2025). Embracing Load Imbalance for Energy Optimizations: a Case-Study. In 2025 IEEE International Parallel and Distributed Processing Symposium Workshops : IPDPSW 2025: 3-7 June 2025, Milan, Italy : proceedings (pp. 405-412). IEEE Computer Society. https://doi.org/10.1109/IPDPSW66978.2025.00066
  • Open Access
    Aghapour, E. (2025). Efficient deep learning inference on end devices. [Thesis, fully internal, Universiteit van Amsterdam].
Page 1 of 22