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Efficient Deep Learning Acceleration

via

HW-Aware
AI Model Design

HW-SW
Co-Design

System-Level
Optimization

Full-Stack SW Design

Notice 공지
our lab is actively recruiting self-motivated undergraduate, graduate, and post-doc researchers! please feel free to contact me (jh.sim@ewha.ac.kr)
우리 연구실과 함께 할 박사후연구원, 석·박사과정 (컴퓨터공학전공/인공지능융합전공), 학부인턴을 모집하고 있습니다!

Latest News


  • 2022-12-26 Haewon Lee and Jimin Nam have joined our group as an undergraduate research intern. Welcome!
  • 2022-12-20 All students at ACPL will attend 2022 한국소프트웨어종합학술대회 (KSC2022), Jeju, Korea.
  • 2022-12-07 Prof. Jaehyeong Sim is giving an invited talk entitled “An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In-Situ Personalization on Smart Devices” at 제5회 반도체공학회 종합학술대회 및 정기총회, Seoul, Korea.
  • 2022-11-25 Prof. Jaehyeong Sim is giving an invited talk entitled “An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In-Situ Personalization on Smart Devices” at Autumn Annual Conference of IEIE 2022, Gwangju-si, Gyeonggi-do, Korea.
  • 2022-11-21 Kyungmi Kim has joined our group as a Master student. Welcome!
  • 2022-11-07 Eunseo Kim has joined our group as an undergraduate research intern. Welcome!
  • 2022-09-16 Prof. Jaehyeong Sim is giving an invited talk entitled “HW/SW Co-Design for Deep Learning Acceleration” at Chung-Ang University, Seoul, Korea.
  • 2022-09-01 HaYoung Lim is now pursuing a Master degree.
  • 2022-08-30 JungA Lee has joined our group as a researcher. Welcome!
  • 2022-03-01 Hyojin Kim, Eunseo Yang have joined our group as an undergraduate research intern. Welcome!
  • 2022-02-01 Sooyoung Kwon has joined our group as an undergraduate research intern. Welcome!
  • 2022-01-01 Juyeon Kim has joined our group as an undergraduate research intern. Welcome!

More

Latest Publications


  • “게임 워크로드에 최적화된 모바일 GPU 설계방안 연구”, 한국소프트웨어종합학술대회, 2022
  • “딥러닝 기반의 MBTI 성격유형 분류 연구”, 한국통신학회 학술대회논문집, 2022
  • “S-FLASH: A NAND Flash-based Deep Neural Network Accelerator Exploiting Bit-level Sparsity”, IEEE TC, Jun. 2022 [DOI].
  • “CREMON: Cryptography Embedded on the Convolutional Neural Network Accelerator”, IEEE TCAS-II, Dec. 2020 [DOI].
  • “An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In-Situ Personalization on Smart Devices”, IEEE JSSC, Oct. 2020 [DOI].