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Harmen Stoppels authored
This is a bit experimental. It builds arbor with `-fprofile-arcs -ftest-coverage` and creates a docker image with just the project binaries, lcov, gcov and generated `.gcno` files. This should still be reasonably small since there are no object files etc. When run on daint, `.gcna` files are produced (should be thread / process safe according to gcc's manual) inside of the container, and `lcov` is used to combine all those things into a single file with a random name in the mounted git project folder (hopefully this solves clashes with multiple nodes). After all tests are run, the combined reports are uploaded to codecov.io.
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README.md 2.15 KiB
Arbor Library
Arbor is a library for implementing performance portable network simulations of multi-compartment neuron models.
An installation guide and library documentation are available online at Read the Docs.
Submit a ticket if you have any questions or want help.
Citing Arbor
The Arbor software can be cited via Zenodo: 
.
Previous versions of Arbor can be cited specifically:
- Version 0.2:
- Version 0.1:
The following BibTeX entry can be used to cite Arbor:
@INPROCEEDINGS{
paper:arbor2019,
author={N. A. {Akar} and B. {Cumming} and V. {Karakasis} and A. {Küsters} and W. {Klijn} and A. {Peyser} and S. {Yates}},
booktitle={2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)},
title={{Arbor --- A Morphologically-Detailed Neural Network Simulation Library for Contemporary High-Performance Computing Architectures}},
year={2019}, month={feb}, volume={}, number={},
pages={274--282},
doi={10.1109/EMPDP.2019.8671560},
ISSN={2377-5750}}Alternative citation formats for the paper can be downloaded here, and a preprint is available at arXiv.