obsidian/phd/weekly-report/25/250921.md

Objectives

• Auto distributed LLM inference config optimization

Key Results

• [3/10] Implement a minimal Rust inference framework
• [0/10] Trace vLLM compute graph and data flow
• [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 [offtrack]

Last Week

• [KR1] Learn and implement a simple LLM inference in candle.
• [KR1] Debug for the float precision problem in candle, trying to figure out the root cause: kernel library or rust float precision.

Next Week

• Think about the structure of inference framework.
• Continue the rust code implementation.