Parallelizing Training of Deep Generative Models on Massive Scientific Datasets

Sam Ade Jacobs, Brian Van Essen, David Hysom +11

Training deep neural networks on large scientific data is a challenging task that requires enormous compute power, especially if no pre-trained models exist to initialize the proce…