Initial commit: obsidian to gitea

phd/weekly-report/25/250824.md

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+Objectives
+- Heterogenous parallelism in cluster
+- EP design for inference performance [untracked]
+
+Key Results
+- [6/10] Profile vLLM to get compute graph
+- [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
+- [0/10] Understand how EP (static/dynamic) influence performance fully
+- [4/10] Analysis correlations between MoE layers [suspended]
+
+Last Week
+- [KR2] Learn about triton (vLLM has many kernel implemented in triton), run a demo to compile the python triton kernel to get ptx then loaded and called in Rust.
+- [KR2] Try a demo to run vLLM's flash-attention in Rust.
+
+Next Week
+- Find a way to get the full compute flow and data flow in vLLM, then replay in Rust.