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Results: 30
Number of items: 30
  • Open Access
    Baneshi, S., Pathania, A., Akesson, B., Pimentel, A., & Varbanescu, A.-L. (2025). Empowering Sustainability: Energy Labeling of Digital Services Using Simulation. In 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing: CCGrid 2025 : Tromsø, Norway, 19-22 May 2025 : proceedings (pp. 580-585). IEEE Computer Society. https://doi.org/10.1109/CCGRID64434.2025.00047
  • Open Access
    Swatman, S. N. (2025). Charged particle track reconstruction algorithms for massively parallel systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    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
    Baneshi, S., Pathania, A., Akesson, B., Pimentel, A., & Varbanescu, A.-L. (2024). Analyzing Per-Application Energy Consumption in a Multi-Application Computing Continuum. In M. Quwaider, S. Alawadi, & Y. Jararweh (Eds.), 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC): 2-5 September, 2024, Malmö, Sweden (pp. 30-37). IEEE. https://doi.org/10.1109/FMEC62297.2024.10710253
  • Open Access
    Thijssen, S., Khandel, P., Yates, A., & Varbanescu, A.-L. (2024). MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training. In D. Zeinalipur, D. Blanco Heras, G. Pallis, H. Herodotou, D. Trihinas, D. Balouek, P. Diehl, T. Cojean, K. Fürlinger, M. H. Kirkeby, M. Nardelli, & P. Di Sanzo (Eds.), Euro-Par 2023: Parallel Processing Workshops: Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28-September 1, 2023 : revised selected papers (Vol. I, pp. 232–245). (Lecture Notes in Computer Science; Vol. 14351). Springer. https://doi.org/10.1007/978-3-031-50684-0_18
  • 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
    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
    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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