Hyeonuk Kim

High order face-offsetting method for interface tracking problem using WENO schemes

Myungjoo Kang, Heejae Han, Hyeonuk Kim, 2019, J. Comput. Phys..

NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks

Lee-Sup Kim, Yeongjae Choi, Jaehyeong Sim, 2019, 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA).

A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices

Seungkyu Choi, Yeongjae Choi, Jaehyeong Sim, 2019, 2019 IEEE Asian Solid-State Circuits Conference (A-SSCC).

An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices

Seungkyu Choi, Yeongjae Choi, Jaehyeong Sim, 2020, IEEE Journal of Solid-State Circuits.

A kernel decomposition architecture for binary-weight Convolutional Neural Networks

Lee-Sup Kim, Yeongjae Choi, Jaehyeong Sim, 2017, 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC).

S-FLASH: A NAND Flash-Based Deep Neural Network Accelerator Exploiting Bit-Level Sparsity

Lee-Sup Kim, Jaehyeong Sim, Hyeonuk Kim, 2022, IEEE Transactions on Computers.

Quantization-Error-Robust Deep Neural Network for Embedded Accelerators

Lee-Sup Kim, Yeongjae Choi, Hyeonuk Kim, 2021, IEEE Transactions on Circuits and Systems II: Express Briefs.