Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.0%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Accelerated mcvine engine
Basic Info
- Host: GitHub
- Owner: mcvine
- Language: Python
- Default Branch: main
- Size: 1.26 MB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 1
- Open Issues: 31
- Releases: 0
Created almost 5 years ago
· Last pushed 7 months ago
Metadata Files
Readme
Citation
README.md
acc - Accelerated mcvine engine
Speedup varies for different MCViNE applications.
1000X speedup achieved for a simple virtual experiment with an isotropic spherical sample component.


More details:
Develop
Install mcvine
$ conda config --add channels conda-forge
$ conda config --add channels mcvine
$ conda install python=3.8 mcvine=1.4.5
Install dependencies
$ conda install numba=0.53.1 cupy cudatoolkit=11.2.2
Build mcvine.acc
$ python setup.py sdist
$ pip install --no-deps .
Owner
- Name: mcvine
- Login: mcvine
- Kind: organization
- Website: http://www.mcvine.org
- Repositories: 31
- Profile: https://github.com/mcvine
Citation (CITATION.cff)
cff-version: 1.2.0
title: mcvine.acc
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Jiao
family-names: Lin
affiliation: Oak Ridge National Laboratory
- given-names: Coleman
family-names: Kendrick
affiliation: Oak Ridge National Laboratory
identifiers:
- type: url
value: 'https://github.com/mcvine/acc'
repository-code: 'https://github.com/mcvine/acc'
GitHub Events
Total
- Push event: 2
- Pull request event: 2
Last Year
- Push event: 2
- Pull request event: 2
Dependencies
.github/workflows/CI.yml
actions
- actions/checkout v2 composite
- conda-incubator/setup-miniconda v2 composite
.gitlab/docker/Dockerfile
docker
- nvidia/cuda 11.3.0-devel-ubuntu20.04 build
pyproject.toml
pypi
- numba *
setup.py
pypi
environment.yml
conda
- cuda-python 12.1.*
- mcvine-core >=1.4.7
- numba 0.53.1.*
- pytest
- python >=3.8
- versioningit