2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2023
DOI: 10.1109/hpca56546.2023.10071102
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SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators

Mingi Yoo
1
,
Jaeyong Song
2
,
Jounghoo Lee
3
et al.
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Cited by 6 publications
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References 80 publications
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SparGNN: Efficient Joint Feature-Model Sparsity Exploitation in Graph Neural Network Acceleration

Yin,
Jiang,
Wang
et al. 2024
2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)
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SparGNN: Efficient Joint Feature-Model Sparsity Exploitation in Graph Neural Network Acceleration

Yin,
Jiang,
Wang
et al. 2024
2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)
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0
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MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization

Zhu,
Li,
Li
et al. 2024
2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
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TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency

Liu,
Dai,
Xia
et al. 2023
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)
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