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AI 시스템·하드웨어 · 학회 · 논문 13편 · 연구실 7곳
연도별 논문
전체 · 논문 13편
20262편
- 김주영KAIST
APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization
Sungyeob Yoo, Seeyeon Kim, Joonyong Park, Seunghee Han, Joo-Young Kim
- 김재준SNU
PRESTE: Preserving Tiny Exponent Precision for Efficient Sub-8-bit LLM Inference and Fine-Tuning
Jehun Lee, Hyesung Jeon, Juchan Lee, Jae-Joon Kim
20255편
- 하순회SNU
Enabling Decoder-only Language Model Inference on a CNN Accelerator
Seongwoo Choi, Hyunsu Moh, Changjae Yi, Joon Choi, Soonhoi Ha
- 김재준SNU
Energy-Efficient Accelerator for Scalable Point Transformer Networks with Reduced Data Access
Hyunsung Yoon, Jehun Lee, Jae-Joon Kim
- 김재준SNU
LLM-on-the-Palm: Mobile LLM Inference with PIM-Enhanced NAND Flash Memory
Hyunjin Kim*, Sanghyeok Han*, Jae-Joon Kim
- 유민수KAIST
Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices
Dongho Yoon, Gungyu Lee, Jaewon Chang, Yunjae Lee, Dongjae Lee, and Minsoo Rhu
- 박찬영KAIST
Target Circuit Matching in Large-Scale Netlists using GNN-Based Region Prediction
Sangwoo Seo, Jimin Seo, Yoonho Lee, Donghyeon Kim, Hyejin Shin, Banghyun Sung, Chanyoung Park
20242편
20234편
- 김재준SNU
Efficient Sampling and Grouping Acceleration for Point Cloud Deep Learning via Single Coordinate Comparison
Hyunsung Yoon, Jae-Joon Kim
- 성효진SNU
Multi-Objective Architecture Search and Optimization for Heterogeneous Neuromorphic Architecture
Juseong Park, Yongwon Shin, Hyojin Sung
- 성효진SNU
PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads
Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Junghoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim
- 김주영KAIST
PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads
Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Jung-Hoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim