Follow
Saleh Ashkboos
Title
Cited by
Cited by
Year
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
982019
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
92022
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
82021
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
32022
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
22022
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
22022
An Efficient Parallel Data Clustering Algorithm Using Isoperimetric Number of Trees
R Javadi, S Ashkboos
arXiv preprint arXiv:1702.04739, 2017
22017
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
12022
Minimum cuts of distance-regular digraphs
S Ashkboos, G Omidi, F Shafiei, K Tajbakhsh
the electronic journal of combinatorics, P4. 2-P4. 2, 2017
12017
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
The system can't perform the operation now. Try again later.
Articles 1–12