obsidian/phd/weekly-report/260104.md

Objectives

• Auto LLM inference config tuner

Key Results

• [2/10] Workload grouping methods
• [9/10] Build the first version auto tuner system
• [8/10] Check the current situation of parallelism config optimization
• [4/10] Understand the possibility/challenges in LLM inference compute graph arrangement automatically
• [1/10] Define the IR for automatic optimization
• [5/10] Profile different parallelism setup with real trace and analysis their difference

Last Week

• [KR2] Run AI Tuner under the current Ali workload groups (input length / label), and try to find the insights for building a better AI Tuner.
• [misc] Build system for EuroSys Shadow experiment.

Next Week

• Compare the AI Tuner results with Ali's current situation to find more insights for AI Tuner.