Software repository
Paper review
Download paper
Software archive
Review
Editor: @sjpfenninger (all papers)
Reviewers: @marouenbg (all reviews), @krystophny (all reviews)
Authors
Christopher Khan (0000-0003-3201-3423), Brett Byram (0000-0003-3693-1459)
Citation
Khan et al., (2020). GENRE (GPU Elastic-Net REgression): A CUDA-Accelerated Package for Massively Parallel Linear Regression with Elastic-Net Regularization. Journal of Open Source Software, 5(54), 2644, https://doi.org/10.21105/joss.02644
@article{Khan2020,
doi = {10.21105/joss.02644},
url = {https://doi.org/10.21105/joss.02644},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {54},
pages = {2644},
author = {Christopher Khan and Brett Byram},
title = {GENRE (GPU Elastic-Net REgression): A CUDA-Accelerated Package for Massively Parallel Linear Regression with Elastic-Net Regularization},
journal = {Journal of Open Source Software}
}
Tags
CUDA GPU computing Cyclic coordinate descent Elastic-net regularization Linear regression
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
