Browsing by Titles

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 6 of 6

Conference
A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications
  • 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
  • View : 478
  • Download : 0
Conference
DBPS: Dynamic Block Size and Precision Scaling for Efficient DNN Training Supported by RISC-V ISA Extensions
  • Lee, Seunghyun ; 
  • Choi, Jeik ; 
  • Noh, Seockhwan ; 
  • Koo, Jahyun ; 
  • 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 : 215
  • Download : 0
Article
Dry Transient Electronic Systems by Use of Materials that Sublime
  • 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 : 878
  • Download : 0
Article
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support
  • Noh, Seockhwan ; 
  • Koo, Jahyun ; 
  • Lee, Seunghyun ; 
  • 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 : 228
  • Download : 0
Conference
LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training
  • Noh, Seock-Hwan ; 
  • Park, Junsang ; 
  • Park, Dahoon ; 
  • Koo, Jahyun ; 
  • Choi, Jeik ; 
  • 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 : 360
  • Download : 0
Conference
OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models
  • Koo, Jahyun ; 
  • Park, Dahoon ; 
  • Jung, Sangwoo ; 
  • 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 : 230
  • Download : 0
1