19 lines
895 B
Markdown
19 lines
895 B
Markdown
Objectives
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- Heterogenous parallelism in cluster
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- EP design for inference performance [untracked]
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Key Results
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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
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- [0/10] Understand how EP (static/dynamic) influence performance fully
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- [4/10] Analysis correlations between MoE layers [suspended]
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Last Week
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- [KR2] Learn about triton (vLLM has many kernel implemented in triton), run a demo to compile the python triton kernel to get ptx then loaded and called in Rust.
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- [KR2] Try a demo to run vLLM's flash-attention in Rust.
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Next Week
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- Find a way to get the full compute flow and data flow in vLLM, then replay in Rust.
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