Accelerating Random Forest Classification on GPU and FPGA-Reference-Cited by-同舟云学术

Accelerating Random Forest Classification on GPU and FPGA

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 51st International Conference on Parallel Processing
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Author:

Shah Milan¹,Neff Reece¹,Wu Hancheng¹,Minutoli Marco²,Tumeo Antonino²,Becchi Michela¹

Affiliation:

1. Electrical and Computer Engineering, North Carolina State University, United States of America

2. Pacific Northwest National Laboratory, United States of America

Funder

DOE U.S. Department of Energy

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3545008.3545067

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3. Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks

4. Accelerating Random Forest training process using FPGA

5. Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml

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