{"title":"Carlo.jl: A general framework for Monte Carlo simulations in Julia","authors":"Lukas Weber","doi":"arxiv-2408.03386","DOIUrl":null,"url":null,"abstract":"Carlo.jl is a Monte Carlo simulation framework written in Julia. It provides\nMPI-parallel scheduling, organized storage of input, checkpoint, and output\nfiles, as well as statistical postprocessing. With a minimalist design, it aims\nto aid the development of high-quality Monte Carlo codes, especially for\ndemanding applications in condensed matter and statistical physics. This\nhands-on user guide shows how to implement a simple code with Carlo.jl and\nprovides benchmarks to show its efficacy.","PeriodicalId":501369,"journal":{"name":"arXiv - PHYS - Computational Physics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Computational Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.03386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Carlo.jl 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.jl and
provides benchmarks to show its efficacy.
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