19 lines
992 B
Markdown
19 lines
992 B
Markdown
Objectives
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- Auto distributed LLM inference config optimization
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Key Results
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- [3/10] Implement a minimal Rust inference framework
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- [1/10] Define the IR for automatic optimization
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- [0/10] Trace vLLM compute graph and data flow
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- [2/10] Understand the possibility/challenges in LLM inference compute graph arrangement automatically
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- [5/10] Profile different parallelism setup with real trace and analysis their difference
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- [0/10] Meta-analysis for the theory maximum improvement with heterogenous setup [offtrack]
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Last Week
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- Theoretically analyze for the dual batch overlap optimization to show that different models with different hardware should apply different execution flow.
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- Survey the DBO and hybrid KVCache management in vLLM.
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- Make some bottom-up things to do in roadmap https://ipads.se.sjtu.edu.cn:1312/wangjh/infer-framework/-/issues/3.
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Next Week
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- Go through the vLLM codebase to find the feasibility and challenges for auto apply an execution flow for different models.
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