TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysCodeb.49
TI  - Carlo.jl: A general framework for Monte Carlo simulations in Julia
PY  - 2025/02/07
UR  - https://www.scipost.org/SciPostPhysCodeb.49
JF  - SciPost Physics Codebases
JA  - SciPost Phys. Codebases
SP  - 49
A1  - Weber, Lukas
AB  - Carlo.jl is a Monte Carlo simulation framework written in Julia. It provides MPI-parallel scheduling (including parallel tempering), 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.jl, how to run an existing stochastic series expansion code based on Carlo.jl, and provides benchmarks to show its efficacy.
ER  -

@Article{10.21468/SciPostPhysCodeb.49,
	title={{Carlo.jl: A general framework for Monte Carlo simulations in Julia}},
	author={Lukas Weber},
	journal={SciPost Phys. Codebases},
	pages={49},
	year={2025},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.49},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.49},
}

@Article{10.21468/SciPostPhysCodeb.49-r0.2,
	title={{Codebase release 0.2 for Carlo.jl}},
	author={Lukas Weber},
	journal={SciPost Phys. Codebases},
	pages={49-r0.2},
	year={2025},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.49-r0.2},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.49-r0.2},
}