전병곤 교수 사진

서울대학교컴퓨터공학부

소프트웨어 플랫폼 연구실

전병곤 교수 (Byung-Gon Chun)

탑티어 논문
7
전체 논문
9
구성원
–
연구실 소개

이 연구실은 클러스터와 스트림 처리 시스템의 상태 관리·확장, 반복 데이터 처리의 캐싱, 대규모 언어 모델 학습을 위한 파이프라인 병렬화 등 소프트웨어 시스템의 효율성과 신뢰성을 연구합니다. 또한 혼합현실 환경의 분석·시뮬레이션 통합과 언어 모델의 프롬프트 생성 및 튜닝 방법을 다룹니다.

AI가 최신 논문을 바탕으로 생성한 연구실 소개예요

연구실 홈페이지의 소개

Hi, there. I am the Founder and CEO of FriendliAI and a Professor in the Computer Science and Engineering (CSE) Department at Seoul National University (SNU), from which I am currently on leave. My research group at SNU works on systems for AI. I am a recipient of the EuroSys 2021 Test of Time Award, the 2020 ACM SIGOPS Hall of Fame Award, the 2020 Google Research Award, the 2019 SNU Education Award, the 2018 Amazon Machine Learning Research Award, the 2017 Facebook Caffe2 Research Award, the 2017 Amazon Cloud Credits for Research Award, the 2015 Naver Young Faculty Award, and the 2014 Microsoft Research Faculty Fellowship. I was a visiting researcher at Naver in Spring and Summer 2020, and I was a visiting research scientist at Facebook, Menlo Park from mid 2016 to early 2017. Before joining SNU in 2013, I was a Principal Scientist at Microsoft. Before joining Microsoft, I led the systems research group at Yahoo! Research Silicon Valley for six months and worked as a Research Scientist for one and half years. My Yahoo! research projects include Mobius (data management platform for cloud-connected mobile apps) and workload-driven big data system designs. Before joining Yahoo! Research, I was a Research Scientist at Intel Research Berkeley from 2008 to 2011. I worked on CloneCloud and TaintDroid projects. Prior to that, I was a postdoctoral researcher at the International Computer Science Institute. I have a Ph.D. in Computer Science from the University of California, Berkeley, an M.S. in Computer Science from Stanford University, and a B.S. and an M.S. from the Electronic Engineering Department at Seoul National University. At SNU, I am teaching the following classes: Artificial Intelligence and Big Data Systems, Software Development Principles and Practices, and Operat

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연구 분야

Machine learning systems · Big data analytics · Datacenter infrastructure / cloud computing · Operating systems

연도별 논문

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