| Profiling and monitoring deep learning training tasks E Yousefzadeh-Asl-Miandoab, T Robroek, P Tozun Proceedings of the 3rd Workshop on Machine Learning and Systems, 18-25, 2023 | 9 | 2023 |
| An Analysis of Collocation on GPUs for Deep Learning Training T Robroek, E Yousefzadeh-Asl-Miandoab, P Tözün Proceedings of the 4th Workshop on Machine Learning and Systems, 81-90, 2024 | 6 | 2024 |
| Data Management and Visualization for Benchmarking Deep Learning Training Systems T Robroek, A Duane, E Yousefzadeh-Asl-Miandoab, P Tozun Proceedings of the Seventh Workshop on Data Management for End-to-End …, 2023 | 3 | 2023 |
| Approximate nearest-neighbour fields via massively-parallel propagation-assisted kd trees CE Oancea, T Robroek, F Gieseke 2020 IEEE International Conference on Big Data (Big Data), 5172-5181, 2020 | 3 | 2020 |
| TensorSocket: Shared Data Loading for Deep Learning Training T Robroek, NK Nielsen, P Tözün arXiv preprint arXiv:2409.18749, 2024 | | 2024 |
| Modyn: A Platform for Model Training on Dynamic Datasets With Sample-Level Data Selection M Böther, V Gsteiger, T Robroek, A Klimovic arXiv preprint arXiv:2312.06254, 2023 | | 2023 |
| Accelerating BCCD using parallel computing T Robroek, TMT Heskes, F Gieseke, TT Claassen | | 2016 |
