ASCL Code Record
[ascl:2008.016]
ParaMonte: Parallel Monte Carlo library
ParaMonte contains serial and parallel Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions. It is used for posterior distributions of Bayesian models in data science, Machine Learning, and scientific inference and unifies the automation of Monte Carlo simulations. ParaMonte is user friendly and accessible from multiple programming environments, including C, C++, Fortran, MATLAB, and Python, and offers high performance at runtime and scalability across many parallel processors.
- Code site:
- https://github.com/cdslaborg/paramonte
- Used in:
- https://ui.adsabs.harvard.edu/abs/2020ApJ...903...33O
- Described in:
- https://ui.adsabs.harvard.edu/abs/2020arXiv200809589S https://ui.adsabs.harvard.edu/abs/2017arXiv171110599S
- Bibcode:
- 2020ascl.soft08016S
Preferred citation method:
Please see citation information here: https://github.com/cdslaborg/paramonte/blob/main/ACKNOWLEDGMENT.md
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