Browse "School of Electrical Engineering(전기및전자공학부)" by Author Um, Soyeon
Showing results 8 to 12 of 12
| Neuro-CIM: A 310.4 TOPS/W Neuromorphic Computing-in-Memory Processor with Low WL/BL activity and Digital-Analog Mixed-mode Neuron Firing Kim, Sangyeob; Kim, Sangjin; Um, Soyeon; Kim, Soyeon; Kim, Kwantae; Yoo, Hoi-Jun, 2022 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2022, pp.38 - 39, Institute of Electrical and Electronics Engineers Inc., 2022-06 |
| Neuro-CIM: A 310.4 TOPS/W Neuromorphic Computing-in-Memory Processor with Low WL/BL activity and Digital-Analog Mixed-mode Neuron Firing Kim, Sangyeob; Kim, Sangjin; Um, Soyeon; Kim, Soyeon; Kim, Kwantae; Yoo, Hoi-Jun, 2022 IEEE Hot Chips 34 Symposium, HCS 2022, Institute of Electrical and Electronics Engineers Inc., 2022-08 |
| Neuro-CIM: ADC-Less Neuromorphic Computing-in-Memory Processor With Operation Gating/Stopping and Digital-Analog Networks Kim, Sangyeob; Kim, Sangjin; Um, Soyeon; Kim, Soyeon; Kim, Kwantae; Yoo, Hoi-Jun, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.58, no.10, pp.2931 - 2945, 2023-10 |
| SNPU: Always-on 63.2μW Face Recognition Spike Domain Convolutional Neural Network Processor with Spike Train Decomposition and Shift-and-Accumulation Unit Kim, Sangyeob; Yoo, Hoi-Jun; Kim, Sangjin; Um, Soyeon; Kim, Soyeon; Lee, Juhyoung, 2022 IEEE Asian Solid-State Circuits Conference, A-SSCC 2022, pp.2 - 4, Institute of Electrical and Electronics Engineers Inc., 2022-11 |
| SNPU: An Energy-Efficient Spike Domain Deep-Neural-Network Processor With Two-Step Spike Encoding and Shift-and-Accumulation Unit Kim, Sangyeob; Kim, Sangjin; Um, Soyeon; Kim, Soyeon; Lee, Juhyoung; Yoo, Hoi-Jun, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.58, no.10, pp.2812 - 2825, 2023-10 |
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