| SparCML: High-performance sparse communication for machine learning C Renggli, S Ashkboos, M Aghagolzadeh, D Alistarh, T Hoefler Proceedings of the International Conference for High Performance Computing …, 2019 | 98 | 2019 |
| New bounds for distributed mean estimation and variance reduction P Davies, V Gurunathan, N Moshrefi, S Ashkboos, D Alistarh arXiv preprint arXiv:2002.09268, 2020 | 23* | 2020 |
| Motif prediction with graph neural networks M Besta, R Grob, C Miglioli, N Bernold, G Kwasniewski, G Gjini, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 9 | 2022 |
| Flare: Flexible in-network allreduce D De Sensi, S Di Girolamo, S Ashkboos, S Li, T Hoefler Proceedings of the International Conference for High Performance Computing …, 2021 | 8 | 2021 |
| ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast S Ashkboos, L Huang, N Dryden, T Ben-Nun, P Dueben, L Gianinazzi, ... arXiv preprint arXiv:2206.14786, 2022 | 3 | 2022 |
| Multi-way sparsest cut problem on trees with a control on the number of parts and outliers R Javadi, S Ashkboos Discrete Applied Mathematics 289, 281-291, 2021 | 3* | 2021 |
| GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers E Frantar, S Ashkboos, T Hoefler, D Alistarh arXiv preprint arXiv:2210.17323, 2022 | 2 | 2022 |
| ProbGraph: high-performance and high-accuracy graph mining with probabilistic set representations M Besta, C Miglioli, PS Labini, J Tětek, P Iff, R Kanakagiri, S Ashkboos, ... arXiv preprint arXiv:2208.11469, 2022 | 2 | 2022 |
| An Efficient Parallel Data Clustering Algorithm Using Isoperimetric Number of Trees R Javadi, S Ashkboos arXiv preprint arXiv:1702.04739, 2017 | 2 | 2017 |
| The spatial computer: A model for energy-efficient parallel computation L Gianinazzi, T Ben-Nun, S Ashkboos, Y Baumann, P Luczynski, ... arXiv preprint arXiv:2205.04934, 2022 | 1 | 2022 |
| Minimum cuts of distance-regular digraphs S Ashkboos, G Omidi, F Shafiei, K Tajbakhsh the electronic journal of combinatorics, P4. 2-P4. 2, 2017 | 1 | 2017 |
| First version of workflow tools published that allows to perform quarterly benchmarks of ML solutions M Abel, S Ashkboos, T Ben-Nun, M Chantry, G Denisenko, F Emmerich | | 2022 |
Torsten HoeflerProfessor of Computer Science at ETH ZurichVerified email at inf.ethz.ch
