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Conference and Workshop Papers
- 2024
[c4]Ties Robroek
, Ehsan Yousefzadeh-Asl-Miandoab, Pinar Tözün:
An Analysis of Collocation on GPUs for Deep Learning Training. EuroMLSys@EuroSys 2024: 81-90- 2023
- [c3]Ties Robroek, Aaron Duane, Ehsan Yousefzadeh-Asl-Miandoab, Pinar Tözün:
Data Management and Visualization for Benchmarking Deep Learning Training Systems. DEEM@SIGMOD 2023: 1:1-1:5 - [c2]Ehsan Yousefzadeh-Asl-Miandoab, Ties Robroek, Pinar Tözün:
Profiling and Monitoring Deep Learning Training Tasks. EuroMLSys@EuroSys 2023: 18-25 - 2020
- [c1]Cosmin Eugen Oancea, Ties Robroek, Fabian Gieseke:
Approximate Nearest-Neighbour Fields via Massively-Parallel Propagation-Assisted K-D Trees. IEEE BigData 2020: 5172-5181
Informal and Other Publications
- 2024
- [i3]Ties Robroek, Neil Kim Nielsen, Pinar Tözün:
TensorSocket: Shared Data Loading for Deep Learning Training. CoRR abs/2409.18749 (2024) - 2023
- [i2]Maximilian Böther, Viktor Gsteiger, Ties Robroek, Ana Klimovic:
Modyn: A Platform for Model Training on Dynamic Datasets With Sample-Level Data Selection. CoRR abs/2312.06254 (2023) - 2022
- [i1]Anders Friis Kaas, Stilyan Petrov Paleykov, Ties Robroek, Pinar Tözün:
Deep Learning Training on Multi-Instance GPUs. CoRR abs/2209.06018 (2022)
Coauthor Index
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