Nikoli Dryden

Deep learning for post-processing ensemble weather forecasts

Peter Grönquist, Chengyuan Yao, Tal Ben‐Nun et al. · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 2021 · 192 citations · Full text

Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

Torsten Hoefler, Dan Alistarh, Tal Ben‐Nun et al. · Repository for Publications and Research Data (ETH Zurich) · 2021 · 125 citations · Full text

Artificial Intelligence, Pruned Parameter Efficiency, Sparse Representation +14

Communication Quantization for Data-Parallel Training of Deep Neural Networks

Nikoli Dryden, Tim Moon, Sam Adé Jacobs et al. · 2016 · 121 citations · Full text

Communication Quantization, Deep Neural Networks, Engineering +13

Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics

Roshan Dathathri, Gurbinder Gill, Loc Hoang et al. · 2018 · 118 citations · Full text

Cluster Computing, Heterogeneous Computing, Engineering +19

Communication quantization for data-parallel training of deep neural networks

Nikoli Dryden, Sam Adé Jacobs, Tim Moon et al. · IEEE International Conference on High Performance Computing, Data, and Analytics · 2016 · 116 citations

Communication Quantization, Deep Neural Networks, Engineering +13