"ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design ..."

Hongwu Peng et al. (2024)

> Home

Details and statistics

DOI: 10.5281/ZENODO.10695278

access: open

type: Data or Artifact

metadata version: 2024-08-16

- view
  - electronic edition via DOI (open access)
  - versions of this item
  authority control:
- export record
  dblp key:
  - data/10/PengXSHZHKKD24a
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/data/10/PengXSHZHKKD24a
Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". Version 2. Zenodo, 2024 [all versions]

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.