Language-Based Deployment Optimization for Random Forests (Invited Paper)

Author:

Malcher Jannik1ORCID,Biebert Daniel1ORCID,Chen Kuan-Hsun2ORCID,Buschjäger Sebastian3ORCID,Hakert Christian1ORCID,Chen Jian-Jia4ORCID

Affiliation:

1. TU Dortmund, Dortmund, Germany

2. University of Twente, Enschede, Netherlands

3. Lamarr Institute for Machine Learning and Artificial Intelligence, Dortmund, Germany

4. TU Dortmund, Dortmund, Germany / Lamarr Institute for Machine Learning and Artificial Intelligence, Dortmund, Germany

Funder

German Research Foundation (DFG)

BMBF

state of North Rhine-Westphalia

Publisher

ACM

Reference10 articles.

1. Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, and Jian-Jia Chen. 2024. Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation. CoRR, abs/2401.15503 (2024).

2. Realization of Random Forest for Real-Time Evaluation through Tree Framing

3. Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data

4. Sebastian Buschjäger and Katharina Morik. 2023. Joint leaf-refinement and ensemble pruning through L_ 1 regularization. 37, 3 (2023).

5. Efficient Realization of Decision Trees for Real-Time Inference

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