Result: High Performance Python for Rapid Methods Development in Monte Carlo / Dynamic Code

Title:
High Performance Python for Rapid Methods Development in Monte Carlo / Dynamic Code
Authors:
Morgan, Joanna, orcid:0000-0003-1379-, Variansyah, Ilham, Cuneo, Braxton, Palmer, Todd, Niemeyer, Kyle
Publisher Information:
Center for Exascale Monte Carlo Neutron Transport (CEMeNT)
Publication Year:
2024
Collection:
Zenodo
Subject Terms:
monte carlo
Document Type:
Academic journal text
Language:
English
Relation:
https://zenodo.org/communities/cement/; https://zenodo.org/records/10961827; oai:zenodo.org:10961827; https://doi.org/10.5281/zenodo.10961827
DOI:
10.5281/zenodo.10961827
Availability:
https://doi.org/10.5281/zenodo.10961827
https://zenodo.org/records/10961827
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.E76EEAC0
Database:
BASE

Further Information

Presentation given at the Scientific Sustanibility Confrence (S3C) in Seattle, WA, USA on