Abstract
The copyrightable material is a set of software whose goal is to explore the use of Monte Carlo methods at extreme processor counts. This will include application software, libraries, middleware, various system software, and possibly compilers and translators
- Developers:
- Release Date:
- 2021-08-27
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOE Laboratory Directed Research and Development (LDRD) ProgramPrimary Award/Contract Number:AC52-06NA25396
- Code ID:
- 62072
- Site Accession Number:
- C21041
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Country of Origin:
- United States
Citation Formats
Pakin, Scott, and Long, Alex.
Billion-Core Monte Carlo.
Computer Software.
https://github.com/lanl/c2nova.
USDOE Laboratory Directed Research and Development (LDRD) Program.
27 Aug. 2021.
Web.
doi:10.11578/dc.20210827.2.
Pakin, Scott, & Long, Alex.
(2021, August 27).
Billion-Core Monte Carlo.
[Computer software].
https://github.com/lanl/c2nova.
https://doi.org/10.11578/dc.20210827.2.
Pakin, Scott, and Long, Alex.
"Billion-Core Monte Carlo." Computer software.
August 27, 2021.
https://github.com/lanl/c2nova.
https://doi.org/10.11578/dc.20210827.2.
@misc{
doecode_62072,
title = {Billion-Core Monte Carlo},
author = {Pakin, Scott and Long, Alex},
abstractNote = {The copyrightable material is a set of software whose goal is to explore the use of Monte Carlo methods at extreme processor counts. This will include application software, libraries, middleware, various system software, and possibly compilers and translators},
doi = {10.11578/dc.20210827.2},
url = {https://doi.org/10.11578/dc.20210827.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20210827.2}},
year = {2021},
month = {aug}
}