Login / Signup

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications.

Chang-Hyo YuHyo-Eun KimSungho ShinKyeongryeol BongHyunsuk KimYoonho BooJaewan BaeMinjae KwonKarim CharfiJinseok KimHongyun KimMyeongbo ShimChangsoo HaWongyu ShinJae-Sung YoonMiock ChiByungjae LeeSungpill ChoiDonghan KimJeongseok WooSeokju YoonHyunje JoHyunho KimHyun-Seok HeoYoung-Jae JinJiun YuJaehwan LeeHyunsung KimMinhoo KangSeokhyeon ChoiSeung-Goo KimMyung-Hoon ChoiJungju OhYunseong KimHaejoon KimSangeun JeJunhee HamJuyeong YoonJaedon LeeSeonhyeok ParkYoungseob ParkJaebong LeeBoeui HongJaehun RyuHyunseok KoKwanghyun ChungJongho ChoiSunwook JungYashael Faith ArthantoJonghyeon KimHeejin ChoHyebin JeongSungmin ChoiSujin HanJunkyu ParkKwangbae LeeSung-Il BaeJaeho BangKyeong-Jae LeeYeongsang JangJungchul ParkSanggyu ParkJueon ParkHyein ShinSunghyun ParkJinwook Oh
Published in: ISSCC (2024)
Keyphrases
  • hardware and software
  • maximum likelihood
  • power consumption
  • low latency
  • search algorithm
  • social networks
  • e learning
  • web services
  • database systems
  • face recognition
  • low cost
  • prefetching
  • wireless broadcast