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T2

IEEE Computer Architecture Letters

AI 시스템·하드웨어 · 저널 · 논문 27편 · 연구실 7곳

연도별 논문

전체 · 논문 27편

20265편

  • Exploring KV Cache Quantization in Multimodal Large Language Model Inference

    Hyesung Ahn, Ranggi Hwang, and Minsoo Rhu

  • High-Bandwidth Flash for KV Caches: Endurance and Performance Implications

    K. Kyung, Y. Moon, J. Cho, and J. Ahn

  • Hot–Cold Tiering of HBM and High Bandwidth Flash for Agentic LLM Serving

    Jongjin Baek, Won Ji, Seungjae Yoo, Joo-Young Kim

  • PLUG: Processing-in-memory LUT Gathering for Graph ANNS

    Seonah Yoo, Jinwook Yang, Hyeonu Kim, Yongwon Shin, Dookyung Kang, Changmin Shin, Jinho Lee, Hyojin Sung

20258편

  • A Characterization of Generative Recommendation Models: Study of Hierarchical Sequential Transduction Unit

    Taehun Kim, Yunjae Lee, Juntaek Lim, and Minsoo Rhu

  • AiDE: Attention-FFN Disaggregated Execution for Cost-Effective LLM Decoding on CXL-PNM

    KyungSoo Kim, Omin Kwon, Yeonhong Park, and Jae W. Lee

  • Characterization and Analysis of the 3D Gaussian Splatting Rendering Pipeline

    Jiwon Lee, Yunjae Lee, Youngeun Kwon, and Minsoo Rhu

  • Cosmos: A CXL-Based Full In-Memory System for Approximate Nearest Neighbor Search

    S. Ko, H. Shim, W. Doh, S. Yun, J. So, Y. Kwon, S.-S. Park, S.-D. Roh, M. Yoon, T. Song, and J. Ahn

  • Per-Row Activation Counting on Real Hardware: Demystifying Performance Overheads

    J. Kim, S. Baek, M. Wi, H. Nam, M. J. Kim, S. Lee, K. Shon, and J. Ahn

  • SSD Offloading for LLM Mixture-of-Experts Weights Considered Harmful in Energy Efficiency

    K. Kyung, S. Yun, and J. Ahn

  • X-PPR: Post Package Repair for CXL Memory

    C. Song, M. J. Kim, Y. Sun, H. Ji, K. Kim, T. Ko, and J. Ahn

20248편

  • A Case for In-Memory Random Scatter-Gather for Fast Graph Processing

    Changmin Shin, Taehee Kwon, Jaeyong Song, Jae Hyung Ju, Frank Liu, Yeonkyu Choi, Jinho Lee

  • A Quantitative Analysis of State Space Model-based Large Language Model: Study of Hungry Hungry Hippos

    Dongho Yoon, Taehun Kim, Jae W. Lee, and Minsoo Rhu

  • Accelerating Programmable Bootstrapping Targeting Contemporary GPU Microarchitecture

    H. Ji, S. Kim, J. Choi, and J. Ahn

  • Analysis of Data Transfer Bottlenecks in Commercial PIM Systems: A Study with UPMEM-PIM

    Dongjae Lee, Bongjoon Hyun, Taehun Kim, and Minsoo Rhu

  • Characterization and Analysis of Text-to-Image Diffusion Models

    Eunyeong Cho, Jehyeon Bang, and Minsoo Rhu

  • FPGA-Accelerated Data Preprocessing for Personalized Recommendation Systems

    Hyeseong Kim, Yunjae Lee, and Minsoo Rhu

  • 김영석Yonsei

    GCStack: A GPU Cycle Accounting Mechanism for Providing Accurate Insight Into GPU Performance

    Hanna Cha, Sungchul Lee, Yeonan Ha, Hanhwi Jang, Joonsung Kim, Youngsok Kim

  • 김영석Yonsei

    IntervalSim++: Enhanced Interval Simulation for Unbalanced Processor Designs

    Haseung Bong, Nahyeon Kang, Youngsok Kim, Joonsung Kim, Hanhwi Jang

20236편

  • A Hardware-Friendly Tiled Singular-Value Decomposition-Based Matrix Multiplication for Transformer-Based Models

    H. Li, J. Choi, Y. Kwon, and J. Ahn

  • ADT: Aggressive Demotion and Promotion for Tiered Memory

    Y. Moon, W. Doh, K. Kyung, E. Lee, and J. Ahn

  • HAMMER: Hardware-friendly Approximate Computing for Self-attention with Mean-redistribution and Linearization

    Seonho Lee, Ranggi Hwang, Jongse Park, and Minsoo Rhu

  • Unleashing the Potential of PIM: Accelerating Large Batched Inference of Transformer-Based Generative Models

    J. Choi, J. Park, K. Kyung, N. Kim, and J. Ahn

  • X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands

    H. Nam, S. Baek, M. Wi, M. J. Kim, J. Park, C. Song, N. Kim, and J. Ahn

  • XLA-NDP: Efficient Scheduling and Code Generation for DL Model Training on Near-Data Processing Memory

    Jueon Park, Hyojin Sung