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phd/weekly-report/25/251012.md

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+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.