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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.03386 |
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| _version_ | 1866929708577325056 |
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| author | Weber, Lukas |
| author_facet | Weber, Lukas |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_03386 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Carlo.jl: A general framework for Monte Carlo simulations in Julia Weber, Lukas Computational Physics Strongly Correlated Electrons 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. |
| title | Carlo.jl: A general framework for Monte Carlo simulations in Julia |
| topic | Computational Physics Strongly Correlated Electrons |
| url | https://arxiv.org/abs/2408.03386 |