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Nikoli Dryden
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Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
T Hoefler, D Alistarh, T Ben-Nun, N Dryden, A Peste
Journal of Machine Learning Research 22, 1-124, 2021
5662021
Communication quantization for data-parallel training of deep neural networks
N Dryden, T Moon, SA Jacobs, B Van Essen
2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC), 1-8, 2016
2112016
Deep learning for post-processing ensemble weather forecasts
P Grönquist, C Yao, T Ben-Nun, N Dryden, P Dueben, S Li, T Hoefler
Philosophical Transactions of the Royal Society A 379 (2194), 20200092, 2021
1432021
Gluon: A communication-optimizing substrate for distributed heterogeneous graph analytics
R Dathathri, G Gill, L Hoang, HV Dang, A Brooks, N Dryden, M Snir, ...
Proceedings of the 39th ACM SIGPLAN conference on programming language …, 2018
1432018
Data movement is all you need: A case study on optimizing transformers
A Ivanov, N Dryden, T Ben-Nun, S Li, T Hoefler
Fourth Conference on Machine Learning and Systems, 2021
1062021
Improving strong-scaling of CNN training by exploiting finer-grained parallelism
N Dryden, N Maruyama, T Benson, T Moon, M Snir, B Van Essen
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
542019
Channel and filter parallelism for large-scale CNN training
N Dryden, N Maruyama, T Moon, T Benson, M Snir, B Van Essen
Proceedings of the International Conference for High Performance Computing …, 2019
482019
Aluminum: An asynchronous, GPU-aware communication library optimized for large-scale training of deep neural networks on HPC systems
N Dryden, N Maruyama, T Moon, T Benson, A Yoo, M Snir, B Van Essen
2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC), 1-13, 2018
452018
Clairvoyant Prefetching for Distributed Machine Learning I/O
N Dryden, R Böhringer, T Ben-Nun, T Hoefler
International Conference for High Performance Computing, Network, Storage …, 2021
442021
The case for strong scaling in deep learning: Training large 3d cnns with hybrid parallelism
Y Oyama, N Maruyama, N Dryden, E McCarthy, P Harrington, J Balewski, ...
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1641-1652, 2020
422020
A lightweight communication runtime for distributed graph analytics
HV Dang, R Dathathri, G Gill, A Brooks, N Dryden, A Lenharth, L Hoang, ...
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
282018
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
262022
Neural parameter allocation search
BA Plummer, N Dryden, J Frost, T Hoefler, K Saenko
International Conference on Learning Representations (ICLR), 2022
22*2022
Neural network based silent error detector
C Wang, N Dryden, F Cappello, M Snir
2018 IEEE International Conference on Cluster Computing (CLUSTER), 168-178, 2018
212018
Towards scalable parallel training of deep neural networks
SA Jacobs, N Dryden, R Pearce, B Van Essen
Proceedings of the Machine Learning on HPC Environments, 1-9, 2017
182017
Ens-10: A dataset for post-processing ensemble weather forecasts
S Ashkboos, L Huang, N Dryden, T Ben-Nun, P Dueben, L Gianinazzi, ...
Advances in Neural Information Processing Systems 35, 21974-21987, 2022
172022
Learning combinatorial node labeling algorithms
L Gianinazzi, M Fries, N Dryden, T Ben-Nun, M Besta, T Hoefler
arXiv preprint arXiv:2106.03594, 2021
152021
Co-design center for exascale machine learning technologies (exalearn)
FJ Alexander, J Ang, JA Bilbrey, J Balewski, T Casey, R Chard, J Choi, ...
The International Journal of High Performance Computing Applications 35 (6 …, 2021
122021
Breaking (global) barriers in parallel stochastic optimization with wait-avoiding group averaging
S Li, T Ben-Nun, G Nadiradze, S Di Girolamo, N Dryden, D Alistarh, ...
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1725-1739, 2020
122020
Predicting weather uncertainty with deep convnets
P Grönquist, T Ben-Nun, N Dryden, P Dueben, L Lavarini, S Li, T Hoefler
arXiv preprint arXiv:1911.00630, 2019
122019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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