https://github.com/zphang/extratrees_cuda
Optimizing Extremely Randomized Trees with GPUs
https://github.com/zphang/extratrees_cuda
Last synced: 3 months ago
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Optimizing Extremely Randomized Trees with GPUs
- Host: GitHub
- URL: https://github.com/zphang/extratrees_cuda
- Owner: zphang
- Created: 2018-02-05T07:00:17.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2019-02-12T23:10:59.000Z (over 7 years ago)
- Last Synced: 2025-08-25T01:45:20.132Z (9 months ago)
- Language: TeX
- Size: 225 KB
- Stars: 6
- Watchers: 3
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Optimizing Extremely Randomized Trees with GPUs
*In collaboration with [Kenil Tanna](https://github.com/avidkenil).*
## Introduction
[Random Forests](https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf) are often the textbook example of highly parallel algorithms that are unsuitable for GPUs. In this project, we propose and evaluate our CUDA implementation of [Extremely Randomized Trees](https://link.springer.com/article/10.1007/s10994-006-6226-1) (or ExtraTrees), a variant of Random Forests which are more amenable to GPU-driven parallel programming.
## Report
You can find a copy of our report [here](tex/report-extremely-randomized-trees.pdf).