obsidian/phd/weekly-report/25/250928.md

Objectives

• Auto distributed LLM inference config optimization

Key Results

• [3/10] Implement a minimal Rust inference framework
• [1/10] Define the IR for automatic optimization
• [0/10] Trace vLLM compute graph and data flow
• [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

• [KR2] Rethink about the project target and the definition of IR for automatic distribution optimization.
• [KR2] Learn something about category for IR abstraction.
• [KR2] Survey the TVM and MLC LLM to learning about their IR abstraction.

Next Week

• Profile the compute and communication time for kernels to show the bubble in micro-batch under different models and different input lengths.