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AI 시스템·하드웨어 · 학회 · 논문 14편 · 연구실 3곳

연도별 논문

전체 · 논문 14편

20262편

20255편

  • A 28nm 18.1μJ/acquisition End-to-End GPS Acquisition Accelerator with Energy-Accuracy-Driven Mixed-Radix IFFT and ROM-Assisted Computing

    S. Jeong, S. Park, M. Seok, and D. Jeon

  • 김상엽Yonsei

    BROCA: A 52.4-559.2mW Mobile Social Agent System-on-Chip with Adaptive-Bit-Truncate Unit and Acoustic-Cluster Bit-Grouping

    W. Jo, S. Hong, J. Choi, B. Kwon, H. Sang, D. Im, Sangyeob Kim, S. Kim, Hoi-Jun Yoo

  • 김상엽Yonsei

    EdgeDiff: 418.4mJ/inference Multi-modal Few-step Diffusion Model Accelerator with Mixed-Precision and Reordered Group-Quantization

    S. Kim, J. Oh, J. So, Y. Choi, Sangyeob Kim, D. Im, G. Park, Hoi-Jun Yoo

  • HuMoniX: A 57.3 fps 12.8 TFLOPS/W Text-to-Motion Processor with Inter-Iteration Output Sparsity and Inter-Frame Joint Similarity

    Jaehoon Heo, Adiwena Putra, Sungwoong Yune, Jieon Yoon, Hangyeol Lee, Jihoon Kim, Joo-Young Kim

  • 김상엽Yonsei

    Slim-Llama: A 4.69mW Large-Language-Model Processor with Binary/Ternary Weights for Billion-Parameter Llama Model

    Sangyeob Kim, J.Lee, Hoi-Jun Yoo

20243편

  • 김상엽Yonsei

    C-Transformer: A 2.6-18.1μJ/Token Homogeneous DNN-Transformer/Spiking-Transformer Processor with Big-Little Network and Implicit Weight Generation for Large Language Models

    Sangyeob Kim, S.Kim, W.Jo, S.kim, S.Hong, Hoi-Jun Yoo

  • 김상엽Yonsei

    NeuGPU: A 18.5 mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing Architecture

    J.Ryu, H.Kwon, W.Park, Z.Li, B.Kwon, D.Han, D.Im, Sangyeob Kim, H.Joo, Hoi-Jun Yoo

  • 김상엽Yonsei

    Space-Mate: A 303.5mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial Computing

    G.Park, S.Song, H.Sang, D.Im, D.Han, Sangyeob Kim, H.Lee, Hoi-Jun Yoo

20234편

  • A 0.81mm2 740µW Real-Time Speech Enhancement Processor Using Multiplier-Less PE Arrays for Hearing Aids in 28nm CMOS

    S. Park, S. Lee, J. Park, H.-S. Choi, and D. Jeon

  • 김상엽Yonsei

    C-DNN: A 24.5-85.8TOPS/W Complementary-Deep-Neural-Network Processor with Heterogeneous CNN/SNN Core Architecture and Forward-Gradient-Based Sparsity Generation

    Sangyeob Kim, S.Kim, S.Hong, S.Kim, D.Han, Hoi-Jun Yoo

  • 김상엽Yonsei

    DynaPlasia: An eDRAM In-Memory-Computing-Based Reconfigurable Spatial Accelerator with Triple-Mode Cell for Dynamic Resource Switching

    S.Kim, Z.Li, S.Um, W.Jo, S.Ha, J.Lee, Sangyeob Kim, D.Han, Hoi-Jun Yoo

  • 김상엽Yonsei

    MetaVRain: A 133mW Real-time Hyper-realistic-3D-NeRF Processor with 1D-2D Hybrid-Neural-Engines for Metaverse on Mobile Devices

    D.Han, J.Ryu, Sangyeob Kim, S.Kim, Hoi-Jun Yoo