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- Han, Woo Kyoung ;
- Park, Dahoon ;
- Kung, Jaeha ;
- Lee, Junghyup ;
- Yoon, Jong-Hyeok
- 2024-11-19
- Choi, Dong-Gu. (2024-11-19). A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications. IEEE Asian Solid-State Circuits Conference. doi: 10.1109/A-SSCC60305.2024.10848920
- IEEE Solid-State Circuits Society
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- Download : 0
- Lee, Seunghyun ;
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- Kung, Jaeha
- 2023-07-11
- Lee, Seunghyun. (2023-07-11). DBPS: Dynamic Block Size and Precision Scaling for Efficient DNN Training Supported by RISC-V ISA Extensions. Design Automation Conference, 23709289. doi: 10.1109/DAC56929.2023.10248013
- ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA)
- View : 129
- Download : 0
- Kim, Bong Hoon ;
- Kim, Jae-Hwan ;
- Persano, Luana ;
- Hwang, Suk Won ;
- Lee, Seungmin ;
- Lee, Jungyup ;
- Yu, Yongjoon ;
- Kang, Yongseon ;
- Won, Sang M. ;
- Koo, Jahyun ; et al
- 2017-03
- Kim, Bong Hoon. (2017-03). Dry Transient Electronic Systems by Use of Materials that Sublime. doi: 10.1002/adfm.201606008
- John Wiley & Sons Ltd.
- View : 802
- Download : 0
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- Park, Jongse ;
- Kung, Jaeha
- 2023-09
- Noh, Seockhwan. (2023-09). FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support. IEEE Transactions on Computers, 72(9), 2522–2535. doi: 10.1109/TC.2023.3253050
- IEEE Computer Society
- View : 135
- Download : 0
Conference
LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training
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- Kung, Jaeha
- 2022-10-25
- Noh, Seock-Hwan. (2022-10-25). LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. IEEE International Conference on Computer Design, 443–450. doi: 10.1109/ICCD56317.2022.00072
- IEEE Computer Society
- View : 254
- Download : 0
Conference
OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models
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- Park, Dahoon ;
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- Kung, Jaeha
- 2024-06-25
- Koo, Jahyun. (2024-06-25). OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. Design Automation Conference, 1–6. doi: 10.1145/3649329.3657323
- Institute of Electrical and Electronics Engineers Inc.
- View : 90
- Download : 0
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