A digital 3D TCAM accelerator for the inference phase of Random Forest-Reference-Cited by-同舟云学术

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A digital 3D TCAM accelerator for the inference phase of Random Forest

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 60th ACM/IEEE Design Automation Conference (DAC)
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Author:

Tsai Chieh-Lin¹,Wu Chun-Feng²,Chang Yuan-Hao³,Hu Han-Wen⁴,Lee Yung-Chun⁴,Li Hsiang-Pang⁴,Kuo Tei-Wei¹

Affiliation:

1. National Taiwan University,Department of Computer Science and Information Engineering

2. National Yang Ming Chiao Tung University,Department of Computer Science

3. Institute of Information Science, Academia Sinica,Taiwan

4. Macronix International Co., Ltd

Funder

National Science and Technology Council

Academia Sinica

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10247654/10247655/10247695.pdf?arnumber=10247695

Reference17 articles.

1. Ranger: A fast implementation of random forests;wright;R Package Version 2 0-12,2020

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

3. The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

4. 1.4Gsearch/s 2-Mb/mm2 TCAM Using Two-Phase-Pre-Charge ML Sensing and Power-Grid Pre-Conditioning to Reduce Ldi/dt Power-Supply Noise by 50%

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