PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs.
Chunyang WangDesen SunYuebin BaiPublished in: CoRR (2023)
Keyphrases
- parallel programming
- parallel processing
- dynamic environments
- neural network
- dynamically changing
- training process
- graphics processing units
- supervised learning
- training set
- training samples
- data sets
- data flow
- parallel implementation
- case study
- general purpose
- shared memory
- parallel computing
- massively parallel
- processing units
- decision trees
- machine learning
- parallel architecture