Nikoli Dryden

Large-scale training of deep neural networks

2019 · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)

Accelerating and scaling the training of deep neural networks (DNNs) is critical to keep up with growing datasets, reduce training times, and enable training on memory-constrained problems where parallelism is necessary. In this thesis, I …