Wenqian Dong

  • Research
  • News
  • Publications
  • Awards
  • Teaching

Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning

by stmorale | Sep 8, 2022 | News

Our paper “Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning” is accepted in ASPLOS’23.

Recent Posts

  • Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning
  • Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation
  • MD-HM: Memoization-based Molecular Dynamics Simulations on Big Memory System
  • Tahoe: Tree Structure-Aware High Performance Inference Engine for Decision Tree Ensemble on GPU
  • Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning

Recent Comments

No comments to show.

Resources

  • MyFIU
  • PantherMail
  • Nondiscrimination
  • Title IX
  • Report Discrimination or Harassment