Provide a tutorial page to describe all tricks to improve GraphStorm training/inference speed
Open
- Dominant language
- Python
- Stars
- 452
- Forks
- 76
- PR merge metrics
- No merged PRs in 30d
Description
There are multiple ways of speeding up GraphStorm training and inference:
- [ ] create EC2 instances in the same placement group
- [ ] use WholeGraph
Contributor guide
Research direction
Start by locating GraphStorm's existing tutorial and documentation entry points and reviewing how training and inference guidance is organized. The tutorial should explain the listed EC2 placement-group and WholeGraph techniques, along with the other speed improvements identified during research, and make clear how readers can apply them.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python
- Domain
- cloud, documentation, machine-learning, performance
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100