Initial commit: obsidian to gitea

phd/weekly-report/25/251116.md

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+Objectives
+- Auto LLM inference config tuner
+
+Key Results
+- [5/10] Build the first version auto tuner system
+- [5/10] Check the current situation of parallelism config optimization
+- [4/10] Understand the possibility/challenges in LLM inference compute graph arrangement automatically
+- [0/10] Trace vLLM compute graph and data flow
+- [3/10] Implement a minimal Rust inference framework
+- [1/10] Define the IR for automatic optimization
+- [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
+- [KR1] Struggle to prepare running environment for Qwen3-Max-fp4. Try to fix/bypass a lot of dependencies/code problems.
+- [mics] Prepare the first version review agent w/ Yingyi. [0b288d64](https://ipads.se.sjtu.edu.cn:1312/shadowpc/deep-review/-/commit/0b288d643301edcb19be6baf394710ce35a2dd74) ~ [57093ff4](https://ipads.se.sjtu.edu.cn:1312/shadowpc/deep-review/-/commit/57093ff4a5782dbfa6e40456b9c0825df5576f8b)
+
+Next Week
+- Think about the insight in our system target.
+- Continue to implement the tuner part in our system.