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2020 – today
- 2024
[j6]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): 2248-2261 (2024)- [c11]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. DAC 2024: 225:1-225:6 - [i1]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 abs/2407.15131 (2024) - 2023
- [j5]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): 2011-2024 (2023) - [j4]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): 3140-3152 (2023) - [c10]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: 611-623 - 2022
- [j3]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): 1291-1304 (2022) - [j2]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): 3026-3039 (2022) - [c9]Hyein Shin, Myeonggu Kang, Lee-Sup Kim:
Re2fresh: A Framework for Mitigating Read Disturbance in ReRAM-Based DNN Accelerators. ICCAD 2022: 40:1-40:9 - 2021
- [c8]Hyein Shin, Myeonggu Kang, Lee-Sup Kim:
Fault-free: A Fault-resilient Deep Neural Network Accelerator based on Realistic ReRAM Devices. DAC 2021: 1039-1044 - [c7]HanCheon Yun, Hyein Shin, Myeonggu Kang, Lee-Sup Kim:
Optimizing ADC Utilization through Value-Aware Bypass in ReRAM-based DNN Accelerator. DAC 2021: 1087-1092 - [c6]Myeonggu Kang, Hyein Shin, Jaekang Shin, Lee-Sup Kim:
A Framework for Area-efficient Multi-task BERT Execution on ReRAM-based Accelerators. ICCAD 2021: 1-9 - 2020
- [j1]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): 2691-2702 (2020) - [c5]Hyein Shin, Myeonggu Kang, Lee-Sup Kim:
A Thermal-aware Optimization Framework for ReRAM-based Deep Neural Network Acceleration. ICCAD 2020: 102:1-102:9
2010 – 2019
- 2019
- [c4]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: 57-60 - [c3]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: 1-8 - 2018
- [c2]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: 19:1-19:6 - 2017
- [c1]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: 83-90
Coauthor Index
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