News

    PUBLICATION

      08.12.2023

“Miro" is accepted to appear in MobiCom 2023.

    PUBLICATION

      05.15.2023

“Sponge" and “EnvPipe" are accepted to appear in USENIX ATC 2023.

    MEDIA

      10.29.2022

Our team is featured in UNIST magazine.

    AWARDS

      09.13.2022

Our continual learning project is selected as a finalist for Meta Research Award 2022.

    MEMBERS

      06.24.2022

Sungho Jeon and Minseok Kim joined as PhD candidates.

    PUBLICATION

      06.17.2022

“SWAN” is accepted to appear at APSys 2022.

    AWARDS

      05.31 2022

Our work “Jarvis” is awarded “Best Paper” by IEEE ICDE 2022.

    PUBLICATION

      05.31 2022

“HUVM” and “Sibylla” are accepted to appear at USENIX ATC’22.

    GRANT

      05.25.2022

Funded by Samsung DS for research on aging-aware data management over deep memory hierarchy.

    PUBLICATION

      02.25.2022

“CarM” is accepted to appear at DAC 2022.

    MEMBERS

      02.17.2022

Soobee Lee and Chanho Park graduated with their Master’s degrees.

    MEMBERS

      02.17.2022

Xinyue Ma joined as a Master candidate.

    MEMBERS

      02.17.2022

Dongyoon Ryu and Sungho Jeon joined as interns.

    GRANT

      01.15.2022

Funded by Samsung SDS for research on optimizing modern GPU cluster platforms.

    PUBLICATION

      11.24.2021

“Jarvis” is accepted to appear at IEEE ICDE 2022.

    GRANT

      10.19.2021

Funded by KakaoBrain, for building an open AI platform. Our ongoing research is on the Media.

    MEDIA

      10.16.2021

“CarM” is in Trending on DeepAI, Selected as an arXiv daily’s pick.

    MEMBERS

      08.31.2021

Gangmuk Lim graduated with his Master’s degree, and Jongseop Lee joins as an intern.

    GRANT

      07.11.2021

Funded by NRF for an advanced AI data pre-processing system.

    GRANT

      07.04.2021

Funded by Rebellions for building large-scale AI inference server systems.

    PUBLICATION

      04.01.2021

“Zico” is accepted to appear at USENIX ATC’21.

    GRANT

      10.01.2020

Funded by Samsung data center, for Research on learning-enhanced predictive DNN cluster scheduling.

    AWARDS

      07.31.2020

DNN data loading project is selected as a finalist for Facebook Research Award.

    PUBLICATION

      02.01.2020

“AOMG” is accepted to appear at ICDE’20 as a short paper.

   GRANT

      02.01.2020

Funded by ETRI. for Research on accelerating DNN data loading.

   GRANT

      02.01.2020

Funded by Samsung Advanced Institute of Technology, for Research on enhancing GPU utilization in DNN cluster.