RNGD: A 5nm Tensor-Contraction Processor for Power-Efficient Inference on Large Language Models

한기진

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RNGD: A 5nm Tensor-Contraction Processor for Power-Efficient Inference on Large Language Models

Authors: 한기진

Issue Date: 17-Feb-2025

URI: https://scholarworks.dongguk.edu/handle/sw.dongguk/63162

Place: 미국

Conference Date: 2025-02-16 ~ 2025-02-20

Conference Name: 2025 IEEE International Solid-State Circuits Conference (ISSCC)

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Appears in Collections: College of Engineering > Department of Electronics and Electrical Engineering > 2. Conference Papers

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Han, Ki Jin: College of Engineering (Department of Electronics and Electrical Engineering)

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