obsidian/phd/weekly-report/25/251026.md

Objectives

• Auto distributed LLM inference config optimization

Key Results

• [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] Summary the optimizations for Qwen models about fused_moe kernels, attention optimization and data copy reduction.
• [KR1] Survey in Ali about the workflow for parallelism config search.
• [misc] Finish 3 homework for courses.

Next Week

• Find the possibility to search configs automatically with AI like alpha evolve.