Carlo.jl: A general framework for Monte Carlo simulations in Julia
arXiv:2408.03386 · doi:10.21468/SciPostPhysCodeb.49
Abstract
Carlo is a Monte Carlo simulation framework written in Julia. It provides MPI-parallel scheduling, organized storage of input, checkpoint, and output files, as well as statistical postprocessing. With a minimalist design, it aims to aid the development of high-quality Monte Carlo codes, especially for demanding applications in condensed matter and statistical physics. This hands-on user guide shows how to implement a simple code with Carlo and provides benchmarks to show its efficacy.
13 pages, 4 figures, code available at https://github.com/lukas-weber/Carlo.jl, v2: added more examples, including stochastic series expansion and parallel tempering