| In-depth survey of processing-in-memory architectures for deep neural networks JH Jang, J Shin, JT Park, IS Hwang, H Kim JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE 23 (5), 322-339, 2023 | 6 | 2023 |
| Survey of CPU and memory simulators in computer architecture: A comprehensive analysis including compiler integration and emerging technology applications I Hwang, J Lee, H Kang, G Lee, H Kim Simulation Modelling Practice and Theory, 103032, 2024 | 1 | 2024 |
| An Architecture-Level Framework for Enabling Processing-Using-Memory Simulations in Deep Neural Networks I Hwang, J Jang, H Kim 2024 International Conference on Electronics, Information, and Communication …, 2024 | 1 | 2024 |
| Evaluation of 2T0C DRAM-Based Processing-in-Memory Systems for Accelerating Deep Neural Network Models J Jang, I Hwang, H Kim 2025 International Conference on Electronics, Information, and Communication …, 2025 | | 2025 |
| Optimizing Deep Neural Network Precision for Processing-in-Memory: A Memory Bottleneck Perspective I Hwang, J Jang, H Kim 2025 International Conference on Electronics, Information, and Communication …, 2025 | | 2025 |
| 비대면 자동결제 시스템을 위한 CNN 기반 객체 검출기의 고처리량 및 전력 효율적인 FPGA 구현 황인성, 이해인김현 전자공학회논문지 61 (10), 943-949, 2024 | | 2024 |
| McSimA+ 시뮬레이터를 사용한 Vision Transformer 추론 과정의 레이어 별 Memory Bottleneck 분석 황인성， 장지훈， 신진， 김현 대한전자공학회 학술대회, 156-160, 2023 | | 2023 |
