Work

Codebase release 0.2 for Carlo.jl

Year: 2025

Type: article

Abstract: 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.

Source: SciPost Physics Codebases

DOI: 10.21468/scipostphyscodeb.49-r0.2

Author: Lukas Weber

Institutions: Max Planck Institute for the Structure and Dynamics of Matter, Flatiron Institute

Language: English

Topic: Theoretical and Computational Physics

Subfield: Condensed Matter Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond

Funder: Deutsche Forschungsgemeinschaft

Award: G7488287807