ParaMonte: Parallel Monte Carlo library

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Ada Coda
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ParaMonte: Parallel Monte Carlo library

Post by Ada Coda » Mon Aug 31, 2020 2:59 am

ParaMonte: Parallel Monte Carlo library

Abstract: 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.

Credit: Shahmoradi, Amir; Bagheri, Fatemeh

Site: https://github.com/cdslaborg/paramonte
https://ui.adsabs.harvard.edu/abs/2017arXiv171110599S

Bibcode: 2020ascl.soft08016S

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2020arXiv200809589S

ID: ascl:2008.016

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