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Wonbo Shim
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2020 – today
- 2022
- [j3]Wonbo Shim, Shimeng Yu:
GP3D: 3D NAND Based In-Memory Graph Processing Accelerator. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(2): 500-507 (2022) - [j2]Jian Meng, Wonbo Shim, Li Yang, Injune Yeo, Deliang Fan, Shimeng Yu, Jae-sun Seo:
Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference. IEEE Micro 42(1): 89-98 (2022) - [c8]Jian Meng, Injune Yeo, Wonbo Shim, Li Yang, Deliang Fan, Shimeng Yu, Jae-Sun Seo:
Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference. IRPS 2022: 3 - 2021
- [j1]Shimeng Yu, Wonbo Shim, Xiaochen Peng, Yandong Luo:
RRAM for Compute-in-Memory: From Inference to Training. IEEE Trans. Circuits Syst. I Regul. Pap. 68(7): 2753-2765 (2021) - [c7]Shimeng Yu, Wonbo Shim, Jae Hur, Yuan-chun Luo, Gihun Choe, Wantong Li, Anni Lu, Xiaochen Peng:
Compute-in-Memory: From Device Innovation to 3D System Integration. ESSDERC 2021: 21-28 - [c6]Jae Hur, Yuan-Chun Luo, Zheng Wang, Wonbo Shim, Asif Islam Khan, Shimeng Yu:
A Technology Path for Scaling Embedded FeRAM to 28nm with 2T1C Structure. IMW 2021: 1-4 - [c5]Wangxin He, Wonbo Shim, Shihui Yin, Xiaoyu Sun, Deliang Fan, Shimeng Yu, Jae-sun Seo:
Characterization and Mitigation of Relaxation Effects on Multi-level RRAM based In-Memory Computing. IRPS 2021: 1-7 - [c4]Wonbo Shim, Jian Meng, Xiaochen Peng, Jae-sun Seo, Shimeng Yu:
Impact of Multilevel Retention Characteristics on RRAM based DNN Inference Engine. IRPS 2021: 1-4 - 2020
- [c3]Wonbo Shim, Yandong Luo, Jae-sun Seo, Shimeng Yu:
Impact of Read Disturb on Multilevel RRAM based Inference Engine: Experiments and Model Prediction. IRPS 2020: 1-5 - [c2]Wonbo Shim, Hongwu Jiang, Xiaochen Peng, Shimeng Yu:
Architectural Design of 3D NAND Flash based Compute-in-Memory for Inference Engine. MEMSYS 2020: 77-85
2000 – 2009
- 2005
- [c1]Wonbo Shim, John C. Morris:
Discrete-time closed-form solution of time-optimal seek control for hard disk drives. ACC 2005: 3223-3228
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