Jun 28, 2022 · We propose H-GCN, a PL (Programmable Logic) and AIE (AI Engine) based hybrid accelerator that leverages the emerging heterogeneity of Xilinx Versal Adaptive ...
We propose H-GCN, a PL (Programmable Logic) and AIE (AI Engine) based hybrid accelerator that leverages the emerging heterogeneity of Xilinx Versal Adaptive ...
To this end, we propose H-GCN, an accelerator designed to mirror the heterogeneous computing paradigm of GCNs. In particular, H-GCN leverages the heterogeneity ...
Apr 11, 2023 · To this end, in this work, we propose H-GCN, a PL-AIE-based hybrid accelerator that leverages the emerging heterogeneity of Xilinx Versal ACAPs ...
This paper proposes SGCN, a fast and energy-efficient GCN accelerator which fully exploits the sparse intermediate features of modern GCNs.
This paper proposes Autotuning-Workload-Balancing GCN (AWB-GCN) to accelerate GCN inference and proposes three hardware-based autotuning techniques: dynamic ...
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture · no code implementations · 28 Jun 2022 ; AWB-GCN: A Graph Convolutional Network ...
People also ask
What is the difference between graph convolutional networks and GNN?
What are graph convolutional networks used for?
Nov 11, 2024 · This survey overviews recent Graph Convolutional Networks (GCN) advancements, highlighting their growing significance across various tasks and applications.
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture ... Graph Neural Networks (GNNs) have drawn tremendous attention due to their unique ...
Oct 22, 2024 · H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. Conference Paper. Full-text available. Aug 2022.