Showing results 1 to 6 of 6
ADC-Free ReRAM-Based In-Situ Accelerator for Energy-Efficient Binary Neural Networks Kim, Hyeonuk; Jung, Youngbeom; Kim, Lee-Sup, IEEE TRANSACTIONS ON COMPUTERS, v.73, no.2, pp.353 - 365, 2024-02 |
(An) energy-effcient deep neural network acceleration by exploiting cross-layer weight scaling and bit-level data sharing = 교차 계층 가중치 상호 변환 및 비트 수준 데이터 공유를 활용한 에너지 효율적 심층 신경망 가속link Jung, Youngbeom; Kim, Lee-Sup; et al, 한국과학기술원, 2021 |
EGCN: An Efficient GCN Accelerator for Minimizing Off-Chip Memory Access Han, Yunki; Park, Kangkyu; Jung, Youngbeom; Kim, Lee-Sup, IEEE TRANSACTIONS ON COMPUTERS, v.71, no.12, pp.3127 - 3139, 2022-12 |
Energy-Efficient CNN Personalized Training by Adaptive Data Reformation Jung, Youngbeom; Kim, Hyeonuk; Choi, Seungkyu; Shin, Jaekang; Kim, Lee-Sup, IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, v.42, no.1, pp.332 - 336, 2023-01 |
eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators Jung, Youngbeom; Choi, Yeongjae; Sim, Jaehyeong; Kim, Lee-Sup, 38th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2019, IEEE/ACM, 2019-11-04 |
Quantization-Error-Robust Deep Neural Network for Embedded Accelerators Jung, Youngbeom; Kim, Hyeonuk; Choi, Yeongjae; Kim, Lee-Sup, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v.69, no.2, pp.609 - 613, 2022-02 |
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