We propose a novel TCAM-based data processing strategy and dynamic fixed-point formatting approach to enable crossbars to handle GNN operations most efficiently ...

Nov 2, 2023 · In this work, we present the TCAM-GNN, a novel TCAM-based data processing strategy, to enable high-throughput and energy-efficient GNN training ...

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TCAM-GNN: A TCAM-Based Data Processing Strategy for GNN Over Sparse Graphs · Yu-Pang WangWei-Chen Wang +5 authors. Han-Wen Hu. Computer Science, Engineering.

TCAM-GNN: A TCAM-Based Data Processing Strategy for GNN Over Sparse Graphs pp. 891-904. Toward Designing High-Speed Cost-Efficient Quantum Reversible ...

深入研究「TCAM-GNN: A TCAM-based Data Processing Strategy for GNN over Sparse Graphs」主題。共同形成了獨特的指紋。 排序方式; 重量 ...

ARIS: Efficient Admitted Influence Maximizing in Large-Scale Networks Based on ... TCAM-GNN: A TCAM-Based Data Processing Strategy for GNN Over Sparse Graphs.

Journal Papers. TCAM-GNN: A TCAM-based Data Processing Strategy for GNN over Sparse Graphs Yu-Pang Wang, Wei-Chen Wang, Yuan-Hao Chang, Chieh-Lin Tsai, Tei ...

This work proposes a specialized GNN quantization scheme, SGQuant, to systematically reduce the GNN memory consumption and investigates the ...