Myeonggu Kang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Classification Trees

Probability Estimation

Top Venues

IEEE Trans. Computers

Publications

Myeonggu Kang, Junyoung Park, Hyein Shin, Jaekang Shin, Lee-Sup Kim
ToEx: Accelerating Generation Stage of Transformer-Based Language Models via Token-Adaptive Early Exit. IEEE Trans. Computers 73 (9) (2024)
Junyoung Park, Myeonggu Kang, Yunki Han, Yanggon Kim, Jaekang Shin, Lee-Sup Kim
Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation. CoRR (2024)
Myeonggu Kang, Hyein Shin, Junkyum Kim, Lee-Sup Kim
MGen: A Framework for Energy-Efficient In-ReRAM Acceleration of Multi-Task BERT. IEEE Trans. Computers 72 (11) (2023)
Junkyum Kim, Myeonggu Kang, Yunki Han, Yanggon Kim, Lee-Sup Kim
OptimStore: In-Storage Optimization of Large Scale DNNs with On-Die Processing. HPCA (2023)
Hyein Shin, Myeonggu Kang, Lee-Sup Kim
Fault-Free: A Framework for Analysis and Mitigation of Stuck-at-Fault on Realistic ReRAM-Based DNN Accelerators. IEEE Trans. Computers 72 (7) (2023)
Myeonggu Kang, Hyeonuk Kim, Hyein Shin, Jaehyeong Sim, Kyeonghan Kim, Lee-Sup Kim
S-FLASH: A NAND Flash-Based Deep Neural Network Accelerator Exploiting Bit-Level Sparsity. IEEE Trans. Computers 71 (6) (2022)
Myeonggu Kang, Hyein Shin, Lee-Sup Kim
A Framework for Accelerating Transformer-Based Language Model on ReRAM-Based Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (9) (2022)
Hyein Shin, Myeonggu Kang, Lee-Sup Kim
fresh: A Framework for Mitigating Read Disturbance in ReRAM-Based DNN Accelerators. ICCAD (2022)
Hyein Shin, Myeonggu Kang, Lee-Sup Kim
Fault-free: A Fault-resilient Deep Neural Network Accelerator based on Realistic ReRAM Devices. DAC (2021)
Myeonggu Kang, Hyein Shin, Jaekang Shin, Lee-Sup Kim
A Framework for Area-efficient Multi-task BERT Execution on ReRAM-based Accelerators. ICCAD (2021)
HanCheon Yun, Hyein Shin, Myeonggu Kang, Lee-Sup Kim
Optimizing ADC Utilization through Value-Aware Bypass in ReRAM-based DNN Accelerator. DAC (2021)
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices. IEEE J. Solid State Circuits 55 (10) (2020)
Hyein Shin, Myeonggu Kang, Lee-Sup Kim
A Thermal-aware Optimization Framework for ReRAM-based Deep Neural Network Acceleration. ICCAD (2020)
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices. A-SSCC (2019)
Kyeonghan Kim, Hyein Shin, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
An Energy-efficient Processing-in-memory Architecture for Long Short Term Memory in Spin Orbit Torque MRAM. ICCAD (2019)
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training. ISLPED (2018)
Thiem Van Chu, Myeonggu Kang, Shi Fa, Kenji Kise
Enhanced Long Edge First Routing Algorithm and Evaluation in Large-Scale Networks-on-Chip. MCSoC (2017)