Random Forests over normalized data in CPU-GPU DBMSes

Author:

Huang Zezhou1ORCID,Damalapati Pavan Kalyan1ORCID,Sen Rathijit2ORCID,Wu Eugene1ORCID

Affiliation:

1. Columbia University, US

2. Microsoft, US

Funder

Amazon

Adobe

NSF

Publisher

ACM

Reference27 articles.

1. 2021. 2021 Kaggle Data Science and Machine Learning Survey. https://www.kaggle.com/code/paultimothymooney/2021-kaggle-data-science-machine-learning-survey/notebook. 2021. 2021 Kaggle Data Science and Machine Learning Survey. https://www.kaggle.com/code/paultimothymooney/2021-kaggle-data-science-machine-learning-survey/notebook.

2. 2023. cuDF - GPU DataFrames. https://github.com/rapidsai/cudf. 2023. cuDF - GPU DataFrames. https://github.com/rapidsai/cudf.

3. Share the tensor tea

4. The Design and Implementation of CoGaDB: A Column-oriented GPU-accelerated DBMS

5. Jiashen Cao , Rathijit Sen , Matteo Interlandi , Joy Arulraj , and Hyesoon Kim . 2023. Revisiting Query Performance in GPU Database Systems. arXiv preprint arXiv:2302.00734 ( 2023 ). Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, and Hyesoon Kim. 2023. Revisiting Query Performance in GPU Database Systems. arXiv preprint arXiv:2302.00734 (2023).

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