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phd/weekly-report/25/250921.md
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phd/weekly-report/25/250921.md
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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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- [0/10] Trace vLLM compute graph and data flow
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- [6/10] Profile vLLM to get compute graph
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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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- [KR1] Learn and implement a simple LLM inference in candle.
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- [KR1] Debug for the float precision problem in candle, trying to figure out the root cause: kernel library or rust float precision.
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Next Week
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- Think about the structure of inference framework.
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- Continue the rust code implementation.
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