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Imperfect code from LLMs can still teach AI to understand circuit structure, unlocking a scalable path to netlist representation learning without expensive, clean datasets.
Wafer-scale SRAM CIM can deliver up to 17x better energy efficiency for LLM inference by eliminating off-chip data movement and using token-grained pipelining.
A novel GPU-CPU-NDP architecture, TriMoE, unlocks 2.83x faster MoE inference by intelligently routing "hot," "warm," and "cold" experts to the compute unit where they thrive.
