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A Simple Yet Effective Accelerator For GCN Training
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由 C Wu 著作2022被引用 9 次 — We propose an FPGA-based GCN accelerator, named SkeletonGCN, along with multiple software-hardware co-optimizations to improve training efficiency.
SkeletonGCN: A Simple Yet Effective Accelerator For GCN ...
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由 C Wu 著作2022被引用 9 次 — We propose an FPGA-based GCN accelerator, named SkeletonGCN, along with multiple software-hardware co-optimizations to improve training efficiency.
A Simple Yet Effective Accelerator For GCN Training
IEEE Xplore
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由 C Wu 著作2022被引用 9 次 — Compared with existing FPGA-based accelerator on the same network architecture, SkeletonGCN can achieve up to. 11.3x speedup while maintaining the same training ...
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A Simple Yet Effective Accelerator For GCN Training
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SkeletonGCN as detailed in [14] , is an FPGA-based accelerator designed for efficient GCN training, integrating multiple strategies to optimize GCN efficiency ...
Zhuofu Tao
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2024年10月4日 — LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator. ... SkeletonGCN: A Simple Yet Effective Accelerator For GCN Training.
GraphACT: Accelerating GCN Training on CPU-FPGA ...
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2019年12月31日 — A novel accelerator for training GCNs on CPU-FPGA heterogeneous systems, by incorporating multiple algorithm-architecture co-optimizations ...
ZHUOFU TAO - Google 学术搜索
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Skeletongcn: a simple yet effective accelerator for gcn training. C Wu, Z Tao, K Wang, L He. 2022 32nd International Conference on Field-Programmable Logic ...
A survey of graph convolutional networks (GCNs) in FPGA ...
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由 M Procaccini 著作2024 — SkeletonGCN as detailed in [14], is an FPGA-based accelerator designed for efficient GCN training, integrating multiple strategies to optimize ...
Kun Wang's research works | University of California, Los ...
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In this work, we propose LW-GCN , a lightweight FPGA-based accelerator with a software-hardware co-designed process to tackle irregularity in computation and ...
ZHUOFU TAO
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Skeletongcn: a simple yet effective accelerator for gcn training. C Wu, Z Tao, K Wang, L He. 2022 32nd International Conference on Field-Programmable Logic ...