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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 4 of 4

Conference
CAM-CIM: A Hybrid Compute-in-Memory Using Content-Addressable Memory with Subword Split Mapping for Reduced ADC Resolution
  • Jung, Sangwoo ; 
  • Lee, Hojin ; 
  • Lee, Yejin ; 
  • Park, Jiyong ; 
  • Park, Dahoon ; 
  • Shin, Hyunseob ; 
  • Yoon, Jong-Hyeok ; 
  • Kung, Jaeha
  • 2025-08-08
  • IEEE International Symposium on Low-Power Electronics and Design, pp.1 - 7
  • IEEE
  • View : 38
  • Download : 0

From a meso- to micro-scale connectome: array tomography and mGRASP

Article
From a meso- to micro-scale connectome: array tomography and mGRASP
  • Rah, Jong-Cheol ; 
  • Feng, Linqing ; 
  • Druckmann, Shaul ; 
  • Lee, Hojin ; 
  • Kim, Jinhyun
  • 2015-06
  • Rah, Jong-Cheol. (2015-06). From a meso- to micro-scale connectome: array tomography and mGRASP. Frontiers in Neuroanatomy, 9(June). doi: 10.3389/fnana.2015.00078
  • Frontiers Research Foundation
  • View : 905
  • Download : 135
Article
Power efficient transistors with low subthreshold swing using abrupt switching devices
  • Aziz, Jamal ; 
  • Kim, Honggyun ; 
  • Hussain, Tassawar ; 
  • Lee, Hojin ; 
  • Choi, Taekjib ; 
  • Rehman, Shania ; 
  • Khan, Muhammad Farooq ; 
  • Kadam, Kalyani D. ; 
  • Patil, Harshada ; 
  • Mehdi, Syed Muhammad Zain ; 
    • et al
  • 2022-05
  • Aziz, Jamal. (2022-05). Power efficient transistors with low subthreshold swing using abrupt switching devices. Nano Energy, 95. doi: 10.1016/j.nanoen.2022.107060
  • Elsevier BV
  • View : 309
  • Download : 0
Conference
RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory Arrays for Fast and Accurate Keyword Spotting
  • Kang, Gunil ; 
  • Park, Dahoon ; 
  • Lee, Hojin ; 
  • Jung, Sangwoo ; 
  • Park, Jiyong ; 
  • Min, Jung Gyu ; 
  • Lee, Youngjoo ; 
  • Kung, Jaeha
  • 2025-01-23
  • Kang, Gunil. (2025-01-23). RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory Arrays for Fast and Accurate Keyword Spotting. 30th Asia and South Pacific Design Automation Conference, ASP-DAC 2025, 1174–1180. doi: 10.1145/3658617.3697697
  • Association for Computing Machinery
  • View : 257
  • Download : 0
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