Yulhwa Kim

Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array

Jin-Seok Kim, Jongeun Koo, Taesu Kim et al. · 2019 · 89 citations

Electrical Engineering, Engineering, Hardware Acceleration +13

Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning

Shihui Yin, Yulhwa Kim, Xu Han et al. · IEEE Micro · 2019 · 85 citations

Resistive Ram, Engineering, Emerging Memory Technology +18

2-Bit-Per-Cell RRAM-Based In-Memory Computing for Area-/Energy-Efficient Deep Learning

Wangxin He, Shihui Yin, Yulhwa Kim et al. · IEEE Solid-State Circuits Letters · 2020 · 63 citations

Electrical Engineering, Engineering, Hardware Acceleration +11

BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks

Sungju Ryu, Hyungjun Kim, Wooseok Yi et al. · IEEE Journal of Solid-State Circuits · 2022 · 51 citations

Bitwise Summation, Engineering, Machine Learning +14

Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array

Yulhwa Kim, Hyungjun Kim, Daehyun Ahn et al. · Proceedings of the International Symposium on Low Power Electronics and Design · 2018 · 27 citations

Convolutional Neural Network, Engineering, Machine Learning +19