| An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices S Choi, J Sim, M Kang, Y Choi, H Kim, LS Kim IEEE Journal of Solid-State Circuits 55 (10), 2691-2702, 2020 | 38 | 2020 |
| TrainWare: A memory optimized weight update architecture for on-device convolutional neural network training S Choi, J Sim, M Kang, LS Kim Proceedings of the International Symposium on Low Power Electronics and …, 2018 | 25 | 2018 |
| A thermal-aware optimization framework for ReRAM-based deep neural network acceleration H Shin, M Kang, LS Kim Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 24 | 2020 |
| S-FLASH: A NAND flash-based deep neural network accelerator exploiting bit-level sparsity M Kang, H Kim, H Shin, J Sim, K Kim, LS Kim IEEE Transactions on Computers 71 (6), 1291-1304, 2021 | 16 | 2021 |
| Fault-free: A fault-resilient deep neural network accelerator based on realistic reram devices H Shin, M Kang, LS Kim 2021 58th ACM/IEEE Design Automation Conference (DAC), 1039-1044, 2021 | 8 | 2021 |
| A framework for accelerating transformer-based language model on ReRAM-based architecture M Kang, H Shin, LS Kim IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 8 | 2021 |
| A 47.4 µJ/epoch trainable deep convolutional neural network accelerator for in-situ personalization on smart devices S Choi, J Sim, M Kang, Y Choi, H Kim, LS Kim 2019 IEEE Asian Solid-State Circuits Conference (A-SSCC), 57-60, 2019 | 7 | 2019 |
| OptimStore: In-storage optimization of large scale DNNs with on-die processing J Kim, M Kang, Y Han, YG Kim, LS Kim 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 6 | 2023 |
| An energy-efficient processing-in-memory architecture for long short term memory in spin orbit torque mram K Kim, H Shin, J Sim, M Kang, LS Kim 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 6 | 2019 |
| Optimizing adc utilization through value-aware bypass in reram-based dnn accelerator HC Yun, H Shin, M Kang, LS Kim 2021 58th ACM/IEEE Design Automation Conference (DAC), 1087-1092, 2021 | 5 | 2021 |
| Fault-Free: A Framework for Analysis and Mitigation of Stuck-at-Fault on Realistic ReRAM-Based DNN Accelerators H Shin, M Kang, LS Kim IEEE Transactions on Computers, 2022 | 4 | 2022 |
| A framework for area-efficient multi-task BERT execution on ReRAM-based accelerators M Kang, H Shin, J Shin, LS Kim 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 4 | 2021 |
| MGen: A Framework for Energy-Efficient In-ReRAM Acceleration of Multi-Task BERT M Kang, H Shin, J Kim, LS Kim IEEE Transactions on Computers, 2023 | 1 | 2023 |
| Enhanced Long Edge First Routing Algorithm and Evaluation in Large-Scale Networks-on-Chip TV Chu, M Kang, S Fa, K Kise 2017 IEEE 11th International Symposium on Embedded Multicore/Many-core …, 2017 | 1 | 2017 |
| ToEx: Accelerating Generation Stage of Transformer-based Language Models via Token-adaptive Early Exit M Kang, J Park, H Shin, J Shin, LS Kim IEEE Transactions on Computers, 2024 | | 2024 |
| Re2fresh: A Framework for Mitigating Read Disturbance in ReRAM-Based DNN Accelerators H Shin, M Kang, LS Kim Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | | 2022 |
| Enhanced Long Edge First Routing Algorithm and Evaluation in Large-Scale Networks-on-Chip T Van Chu, M Kang, S Fa, K Kise 2017 IEEE 11th International Symposium on Embedded Multicore/Many-core …, 2017 | | 2017 |
Lee-Sup KimProfessor of Electrical Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
