Objectives
- Auto distributed LLM inference config optimization

Key Results
- [3/10] Implement a minimal Rust inference framework
- [1/10] Define the IR for automatic optimization
- [0/10] Trace vLLM compute graph and data flow
- [2/10] Understand the possibility/challenges in LLM inference compute graph arrangement automatically
- [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 [offtrack]

Last Week
- Theoretically analyze for the dual batch overlap optimization to show that different models with different hardware should apply different execution flow.
- Survey the DBO and hybrid KVCache management in vLLM.
- Make some bottom-up things to do in roadmap https://ipads.se.sjtu.edu.cn:1312/wangjh/infer-framework/-/issues/3.

Next Week
- Go through the vLLM codebase to find the feasibility and challenges for auto apply an execution flow for different models.
