---
code_id: 46929
site_ownership_code: "SNL"
open_source: true
repository_link: "https://github.com/sandialabs/miniGAN"
project_type: "OS"
software_type: "S"
official_use_only: {}
developers:
- email: ""
  orcid: ""
  first_name: "John"
  last_name: "Ellis"
  middle_name: ""
  affiliations:
  - "Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)"
- email: ""
  orcid: ""
  first_name: "Sivasankaran"
  last_name: "Rajamanickam"
  middle_name: ""
  affiliations:
  - "Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)"
contributors: []
sponsoring_organizations:
- organization_name: "USDOE"
  funding_identifiers: []
  primary_award: "NA0003525"
  DOE: true
contributing_organizations: []
research_organizations:
- organization_name: "Sandia National Laboratories (SNL-NM), Albuquerque, NM (United\
    \ States)"
  DOE: true
related_identifiers: []
award_dois: []
release_date: "2020-02-13"
software_title: "miniGAN: a proxy application for generative adversarial networks"
doi: "https://doi.org/10.11578/dc.20201030.10"
description: "miniGAN is a python-based machine learning proxy application for generative\
  \ adversarial networks, developed through the Exascale Computing Project's (ECP)\
  \ ExaLearn project. It will be included in the main ECP proxy application and the\
  \ machine learning proxy application suite. It is a proxy for ECP cosmological(CosmoFlow,\
  \ ExaGAN) and wind energy(ExaWind) applications. miniGAN will be distributed to\
  \ ECP hardware vendors as part of hardware codesign. miniGAN uses the Numpy/PyTorch/TensorFlow/Keras/Horovod\
  \ frameworks and libraries. It also relies on the Kokkos and Kokkos-Kernels packages\
  \ developed here at Sandia Labs. SAND2020-2038 M\nSandia National Laboratories is\
  \ a multimission laboratory managed and operated by National Technology & Engineering\
  \ Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International\
  \ Inc., for the U.S. Department of Energy's National Nuclear Security Administration\
  \ under contract DE-NA0003525."
programming_languages:
- "Shell"
- "Python"
version_number: ""
country_of_origin: "United States"
project_keywords: []
licenses:
- "BSD 3-clause \"New\" or \"Revised\" License"
proprietary_url: ""
recipient_org: "Sandia National Laboratories"
site_accession_number: "SCR#2460.0"
date_record_added: "2020-10-30"
date_record_updated: "2024-07-29"
is_file_certified: false
last_editor: "copyrightadmin@sandia.gov"
is_limited: false
links:
- rel: "citation"
  href: "https://www.osti.gov/doecode/biblio/46929"