FPGA-based ML adaptive accelerator: A partial reconfiguration approach for optimized ML accelerator utilization-Reference-Cited by-同舟云学术

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FPGA-based ML adaptive accelerator: A partial reconfiguration approach for optimized ML accelerator utilization

Published:2024-03 Issue: Volume:21 Page:100337
ISSN:2590-0056
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language:en
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Author:

El Bouazzaoui Achraf^ORCID,Hadjoudja Abdelkader,Mouhib Omar,Cherkaoui Nazha

Publisher

Elsevier BV

Reference31 articles.

1. What is machine learning?;El Naqa,2015

2. Machine learning and deep learning;Janiesch;Electr Mark,2021

3. Machine learning: Trends, perspectives, and prospects;Jordan;Science,2015

4. Persistent graph stream summarization for real-time graph analytics;Jia,2023

5. Supervised machine learning: A review of classification techniques;Kotsiantis,2007

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive K values and training subsets selection for optimal K-NN performance on FPGA;Journal of King Saud University - Computer and Information Sciences;2024-06

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