AI 시스템·하드웨어, 학회
ISSCC 논문을 낸 국내 연구실
탑티어International Solid-State Circuits Conference. 2023년 이후 논문 20편, 연구실 8곳
이 학회에 논문을 낸 연구실
UNIST 감동윤 교수신생 랩모집 안내
탑티어 4전체 14구성원 8
경량화·효율 AIAI 가속기
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 Efficient AI Semiconductor System Lab김상엽 교수신생 랩 | 연세대 | 22 | 50 | 8 | |
 캐스트 연구실김주영 교수모집 안내 | KAIST | 26 | 52 | – | |
 융합반도체설계연구실김재준 교수 | UNIST | 5 | 16 | – | |
 Digital Processor & System-on-Chip Lab. 디지털 프로세서 및 시스템온칩 연구실감동윤 교수신생 랩모집 안내 | UNIST | 4 | 14 | 8 | |
 Mobile Multimedia Systems Group전동석 교수모집 안내 | 서울대 | 10 | 40 | 21 | |
 김지희 연구실김지희 교수 | KAIST | 9 | 25 | – | |
 양은호 연구실양은호 교수 | KAIST | 50 | 56 | – | |
 Communications-X Lab이남윤 교수 | POSTECH | 4 | 76 | – |
최근 논문
- 31.7 LUT-SSM: A 99.3TFLOPS/W LUT-Based State-Space Model Accelerator Using Energy-Efficient Element-Wise Layer Fusion and LUT-Friendly Weight-Only Quantization
2026, Digital Processor & System-on-Chip Lab. 디지털 프로세서 및 시스템온칩 연구실
- OmniCrypt: A 435.86M-GOPS/W Bootstrappable Multi-Scheme FHE Accelerator with on-Chip Data Generation for Privacy-Preserving Computation
2026, 캐스트 연구실
- Tri-Oracle: A 17.78μJ/Token Vision-Language Model Accelerator with Token-Attention-Weight Redundancy Prediction
2026, 캐스트 연구실
- 22.1 A 0.275pJ/b 42Gb/s/pin Clock-Referenced PAM3 Transceiver Tolerant to Supply Noise, Reference Offset and Crosstalk for Chiplets and Short-Reach Memory Interfaces
2025, 김지희 연구실
- 23.10 HuMoniX: A 57.3fps 12.8TFLOPS/W Text-to-Motion Processor with Inter-Iteration Output Sparsity and Inter-Frame Joint Similarity
2025, 캐스트 연구실
- 23.3 EdgeDiff: 418.4mJ/Inference Multi-Modal Few-Step Diffusion Model Accelerator with Mixed-Precision and Reordered Group Quantization
2025, Efficient AI Semiconductor System Lab
- 23.7 BROCA: A 52.4-to-559.2mW Mobile Social Agent System-on-Chip with Adaptive Bit-Truncate Unit and Acoustic-Cluster Bit Grouping
2025, Efficient AI Semiconductor System Lab
- A 28nm 18.1µJ /Acquisition End-to-End GPS Acquisition Accelerator with Energy-Accuracy-Driven Mixed-Radix IFFT and ROM-Assisted Computing
2025, Mobile Multimedia Systems Group
- A 321-Layer 2Tb 4b/cell 3D-NAND-Flash Memory with a 75MB/s Program Throughput
2025, 양은호 연구실
- Slim-Llama: A 4.69mW Large-Language-Model Processor with Binary/Ternary Weights for Billion-Parameter Llama Model
2025, Efficient AI Semiconductor System Lab
- 20.5 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
2024, Efficient AI Semiconductor System Lab
- 20.7 NeuGPU: A 18.5mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing Architecture
2024, Efficient AI Semiconductor System Lab
- 20.8 Space-Mate: A 303.5mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial Computing
2024, Efficient AI Semiconductor System Lab
- 2.8 A 21.9ns 15.7 Gbps/mm² (128,15) BOSS FEC Decoder for 5G/6G URLLC Applications
2024, Digital Processor & System-on-Chip Lab. 디지털 프로세서 및 시스템온칩 연구실, Communications-X Lab
- 33.7 An Adhesive Interposer-Based Reconfigurable Multi-Sensor Patch Interface with On-Chip Application Tunable Time-Domain Feature Extraction
2024, 융합반도체설계연구실
- A0.81 mm2 740μW Real-Time Speech Enhancement Processor Using Multiplier-Less PE Arrays for Hearing Aids in 28nm CMOS
2023, Mobile Multimedia Systems Group
- A Behind-The-Ear Patch-Type Mental Healthcare Integrated Interface with 275-Fold Input Impedance Boosting and Adaptive Multimodal Compensation Capabilities
2023, 융합반도체설계연구실
- 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
2023, Efficient AI Semiconductor System Lab
- DynaPlasia: An eDRAM In-Memory-Computing-Based Reconfigurable Spatial Accelerator with Triple-Mode Cell for Dynamic Resource Switching
2023, Efficient AI Semiconductor System Lab
- MetaVRain: A 133mW Real-Time Hyper-Realistic 3D-NeRF Processor with 1D-2D Hybrid-Neural Engines for Metaverse on Mobile Devices
2023, Efficient AI Semiconductor System Lab