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- Jang, Yongjoo ;
- Kung, Jaeha
- 2025-05
- Noh, Seock-Hwan. (2025-05). All-Rounder: A Flexible AI Accelerator With Diverse Data Format Support and Morphable Structure for Multi-DNN Processing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 33(5), 1264–1277. doi: 10.1109/TVLSI.2025.3540346
- Institute of Electrical and Electronics Engineers
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- Kim, Jae-joon ;
- Kung, Jaeha
- 2022-07
- Park, Sehun. (2022-07). AutoRelax: HW-SW Co-Optimization for Efficient SpGEMM Operations with Automated Relaxation in Deep Learning. IEEE Transactions on Emerging Topics in Computing, 10(3), 1428–1442. doi: 10.1109/TETC.2021.3089848
- IEEE Computer Society
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Conference
Improving Hardware Efficiency of a Sparse Training Accelerator by Restructuring a Reduction Network
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- Kung, Jaeha
- 2023-06-27
- Shin, Banseok. (2023-06-27). Improving Hardware Efficiency of a Sparse Training Accelerator by Restructuring a Reduction Network. IEEE Interregional NEWCAS Conference, NEWCAS 2023, 191480. doi: 10.1109/NEWCAS57931.2023.10198090
- IEEE CAS Society
- View : 98
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