Showing results 5 to 9 of 9
Fault-free: A Fault-resilient Deep Neural Network Accelerator based on Realistic ReRAM Devices Shin, Hyein; Kang, Myeonggu; Kim, Lee-Sup, 58th ACM/IEEE Design Automation Conference, DAC 2021, Institute of Electrical and Electronics Engineers Inc., 2021-12 |
Optimizing ADC Utilization through Value-Aware Bypass in ReRAM-based DNN Accelerator Yun, HanCheon; Shin, Hyein; Kang, Myeonggu; Kim, Lee-Sup, 58th ACM/IEEE Design Automation Conference, DAC 2021, Institute of Electrical and Electronics Engineers Inc., 2021-12 |
OptimStore: In-Storage Optimization of Large Scale DNNs with On-Die Processing Kim, Junkyum; Kang, Myeonggu; Han, Yunki; Kim, Yang-Gon; Kim, Lee-Sup, 29th IEEE International Symposium on High-Performance Computer Architecture, HPCA 2023, pp.611 - 623, IEEE Computer Society, 2023-02-28 |
Re(2)fresh: A Framework for Mitigating Read Disturbance in ReRAM-based DNN Accelerators Shin, Hyein; Kang, Myeonggu; Kim, Lee-Sup, 41st IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2022, IEEE/ACM, 2022-11 |
TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training Choi, Seungkyu; Sim, Jaehyeong; Kang, Myeonggu; Kim, Lee-Sup, 23rd IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), pp.104 - 109, ACM/IEEE, 2018-07-24 |
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