Initial commit: obsidian to gitea

phd/weekly-report/25/251109.md

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+Objectives
+- Auto LLM inference config tuner
+
+Key Results
+- [4/10] 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] Write code for basic config generator and benchmark to check the performance.
+- [KR1] Trying to find a way to tune the config for better performance.
+
+Next Week
+- Benchmark for baseline and some human-tuned configs to prove the necessary of config tuning.
+- Continue to design a way for auto tuning.