Presentation
Interactive HPC Deep Learning with Jupyter Notebooks
SessionResearch Posters
Authors
Event Type
Poster
TP
EX
TimeThursday, November 15th8:30am - 5pm
LocationC2/3/4 Ballroom
DescriptionDeep learning researchers are increasingly using Jupyter notebooks to implement interactive, reproducible workflows. Such solutions are typically deployed on small-scale (e.g. single server) computing systems. However, as the sizes and complexities of datasets and associated neural network models increase, distributed systems become important for training and evaluating models in a feasible amount of time. In this poster, we describe our work on Jupyter notebook solutions for distributed training and hyper-parameter optimization of deep neural networks on high-performance computing systems.
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