Reading_Report

A reading report for Acceleration on GNN, including but not limited to related research on software and hardware level.

Hardware Acceleration on GCN

[HPCA'23] GROW A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks

Author: Ranggi Hwang, Minhoo Kang, et, al. Institute: KAIST (HPCA'23_GROW)
[HPCA'22] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design

Author: Haoran You, Tong Geng, et, al. Institute: Rice University (HPCA'22_GCoD)
[HPCA'21] GCNAX: A Flexible and Energy-effificient Accelerator for Graph Convolutional Neural Networks

Author: Jiajun Li, Ahmed Louri, et, al. Institute: George Washington University (HPCA'21_GCNAX)
[HPCA'20] AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing

Author: Tong Geng, Ang Li, et, al. Institute: Boston University (MICRO'20_AWB_GCN)
Other Papers (Reading_Report)