Objectives
- Heterogenous parallelism in cluster
- EP design for inference performance

Key Results
- [5/10] Profile different parallelism setup with real trace and analysis their difference
- [0/10] Meta-analysis for the theory maximum improvement with heterogenous setup
- [0/10] Understand how EP influence performance fully
- [0/10] Verify how dynamic EP influence performance
- [4/10] Analysis correlations between MoE layers (suspended)

Last Week
- [For KR1] Read vLLM code and understand how vLLM TP/PP/DP works.
- [For KR1] Run profile test with different config in a more complete search space.
- [Surveying] Understand the bottleneck of autoscaling in Ali.
- [Surveying] The opportunity for profile kernel and get a best compute graph to guide the parallelism config.
- [Misc] Prepare slides for AIR project conclusion defense.

Next Week
- Survey the possibility of a universal parallelism config search based on kernel. (Start from the related works about NanoFlow)
- Check the possibility to use GPU bubbles which running small models.
- Check the challenges to switch parallelism config with context.
