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Results: 49
Number of items: 49
  • Open Access
    Mesarcik, M., Boonstra, A. J., Iacobelli, M., de Laat, C. T. A. M., & van Nieuwpoort, R. V. (2023). The ROAD to discovery: Machine-learning-driven anomaly detection in radio astronomy spectrograms. Astronomy and Astrophysics, 680, Article A74. https://doi.org/10.1051/0004-6361/202347182
  • Open Access
    Deekshitha, Farshidi, S., Maassen, J., Bakhshi, R., van Nieuwpoort, R., & Jansen, S. (2023). FAIRSECO: An Extensible Framework for Impact Measurement of Research Software. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 199-208). Article 21 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254664
  • Open Access
    Dreuning, H., Verstoep, K., Bal, H. E., & van Nieuwpoort, R. V. (2023). CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism. In 2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics: HiPC 2023 : 18-21 December 2023, Goa, India : proceedings (pp. 76-86). IEEE. https://doi.org/10.1109/HiPC58850.2023.00023
  • Open Access
    Mesarcik, M., Ranguelova, E., Boonstra, A.-J., & van Nieuwpoort, R. V. (2022). Improving novelty detection using the reconstructions of nearest neighbours. Array, 14, Article 100182. https://doi.org/10.1016/j.array.2022.100182
  • Open Access
    Heldens, S., Hijma, P., van Werkhoven, B., Maassen, J., & van Nieuwpoort, R. V. (2022). Lightning: Scaling the GPU Programming Model Beyond a Single GPU. In Proceedings, 2022 IEEE 36th International Parallel and Distributed Processing Symposium: 30 May-3 June 2022, virtual event (pp. 492-503). (IPDPS). IEEE Computer Society. https://doi.org/10.1109/IPDPS53621.2022.00054
  • Open Access
    Heldens, S., Sclocco, A., Dreuning, H., van Werkhoven, B., Hijma, P., Maassen, J., & van Nieuwpoort, R. V. (2022). litstudy: A Python package for literature reviews. SoftwareX, 20, Article 101207. https://doi.org/10.1016/j.softx.2022.101207
  • Open Access
    Mesarcik, M., Boonstra, A.-J., Ranguelova, E., & van Nieuwpoort, R. V. (2022). Learning to detect radio frequency interference in radio astronomy without seeing it. Monthly Notices of the Royal Astronomical Society, 516(4), 5367-5378. https://doi.org/10.1093/mnras/stac2503
  • Open Access
    Dreuning, H., Bal, H. E., & van Nieuwpoort, R. V. (2022). mCAP: Memory-Centric Partitioning for Large-Scale Pipeline-Parallel DNN Training. In J. Cano, & P. Trinder (Eds.), Euro-Par 2022: Parallel Processing: 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022 : proceedings (pp. 155-170). (Lecture Notes in Computer Science; Vol. 13440), (Advanced Research in Computing and Software Science). Springer. https://doi.org/10.1007/978-3-031-12597-3_10
  • Open Access
    Willemsen, F.-J., van Nieuwpoort, R., & van Werkhoven, B. (2021). Bayesian Optimization for auto-tuning GPU kernels. In 2021 International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS 2021): St. Louis, Missouri, USA, 15 November 2021 (pp. 106-117). IEEE. https://doi.org/10.1109/PMBS54543.2021.00017
  • Mesarcik, M., Boonstra, A.-J., Meijer, C., Jansen, W., Ranguelova, E., & van Nieuwpoort, R. V. (2020). LOFAR dataset for deep learning assisted data Inspection for radio astronomy [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3702430
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