Carlo
Monte Carlo framework that provides MPI parallelization, checkpointing and statistical postprocessing in an algorithm-agnostic way.
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (9.2%) to scientific vocabulary
Repository
Monte Carlo framework that provides MPI parallelization, checkpointing and statistical postprocessing in an algorithm-agnostic way.
Basic Info
Statistics
- Stars: 41
- Watchers: 2
- Forks: 2
- Open Issues: 3
- Releases: 11
Metadata Files
README.md
Carlo is a framework for developing high-performance, distributed (quantum) Monte Carlo simultations. Its aim is to take care of model-independent tasks such as
- autocorrelation and error analysis,
- Monte-Carlo-aware MPI scheduling, and
- checkpointing
while leaving all the flexibility of implementating Monte Carlo updates and estimators to you.
Getting started
To install the package, type
julia
using Pkg; Pkg.add("Carlo")
The package itself does not include Monte Carlo algorithms. The quickest way to see how to implement one yourself is to check out the reference implementation for the Ising model. For a state-of-the-art Monte Carlo code, take a look at StochasticSeriesExpansion.jl.
Owner
- Name: Lukas Weber
- Login: lukas-weber
- Kind: user
- Company: Simons Foundation
- Website: https://lukas.weber.science
- Repositories: 1
- Profile: https://github.com/lukas-weber
Physics postdoc at the Center for Computational Quantum Physics.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Weber" given-names: "Lukas" orcid: "https://orcid.org/0000-0003-4949-5529" title: "Carlo.jl" doi: 10.48550/arXiv.2408.03386 date-released: 2024-08-06 url: "https://github.com/lukas-weber/Carlo.jl"
GitHub Events
Total
- Create event: 5
- Commit comment event: 6
- Release event: 3
- Issues event: 12
- Watch event: 15
- Delete event: 2
- Issue comment event: 14
- Push event: 42
- Pull request event: 1
Last Year
- Create event: 5
- Commit comment event: 6
- Release event: 3
- Issues event: 12
- Watch event: 15
- Delete event: 2
- Issue comment event: 14
- Push event: 42
- Pull request event: 1
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 21
- Total pull requests: 1
- Average time to close issues: about 2 months
- Average time to close pull requests: about 7 hours
- Total issue authors: 4
- Total pull request authors: 1
- Average comments per issue: 1.38
- Average comments per pull request: 2.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 13
- Pull requests: 1
- Average time to close issues: 18 days
- Average time to close pull requests: about 7 hours
- Issue authors: 3
- Pull request authors: 1
- Average comments per issue: 1.54
- Average comments per pull request: 2.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- lukas-weber (13)
- hz-xiaxz (5)
- rkr8 (2)
- JuliaTagBot (1)
Pull Request Authors
- hz-xiaxz (3)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 25 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 10
juliahub.com: Carlo
Monte Carlo framework that provides MPI parallelization, checkpointing and statistical postprocessing in an algorithm-agnostic way.
- Documentation: https://docs.juliahub.com/General/Carlo/stable/
- License: MIT
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Latest release: 0.2.5
published 8 months ago