PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs-Reference-Cited by-同舟云学术

PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs

Published:2022-03-14 Issue: Volume: Page:
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Container-title:2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
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Author:

Lin Zhe¹,Yuan Zike²,Zhao Jieru³,Zhang Wei⁴,Wang Hui¹,Tian Yonghong¹

Affiliation:

1. Peng Cheng Laboratory,China

2. The University of Auckland,New Zealand

3. Shanghai Jiao Tong University,China

4. The Hong Kong University of Science and Technology,Hong Kong, China

Publisher

IEEE

Link

Reference20 articles.

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2. UltraScale Architecture Low Power Technology Overview;kolluri;Xilinx White Paper,2015

4. Semi-supervised classification with graph convolutional networks;kipf;Proc of ICLR,0

5. Inductive representation learning on large graphs;hamilton;Proc of NeurIPS,0

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1. HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond;Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD;2024-09-09

3. Power Analysis;FPGA EDA;2024

5. HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis;2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2023-07