miniGAN

Short Description
The objective of the miniGAN miniapp is to model performance for training generator and discriminator networks. The GAN's generator and discriminator generate plausible 2D/3D maps and identify fake maps, respectively. Related applications exist in cosmology (CosmoFlow, ExaGAN) and wind energy (ExaWind).
Institution
Sandia National Laboratories
Sponsors
ECP
Parent Application/Code
ExaGAN
Other Related Applications/Codes
CosmoFlow/ExaWind
Keywords
GAN, machine learning
Programming Languages/Paradigms
Python, MPI
Release/Version Number
1.0.0