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Data Centric Computing Lab

Data Centric Computing Lab

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Professor

About

김욱희 교수 연구실(데이터중심컴퓨팅연구실)은 건국대 컴퓨터공학과 소속으로, 대규모 데이터의 효율적 저장·관리를 위한 데이터베이스 및 스토리지 시스템 핵심 기술을 연구한다. 신규 하드웨어를 위한 소프트웨어 최적화와 분산·병렬 시스템을 주제로 한다.

Research keywords

Database SystemsStorage Systems

Selected publications

  • From Learning to Recycling: A Log-Structured Learned-Less IndexACM SIGMOD · 2026
  • PRISM: Optimizing Key-Value Store for Modern Heterogeneous Storage DevicesACM ASPLOS · 2023
  • RETINA: Cross-layered Key-Value Store for Computational StorageIEEE MASCOTS · 2023
  • TENET: Memory Safe and Fault tolerant Persistent Transactional MemoryUSENIX FAST · 2023
  • SB-Tree: A B+-tree for In-Memory Time Series Databases with Segmented BlockIEEE Access · 2025
  • Crash-Consistent HNSW for Vector Databases on Persistent MemoryApplied Sciences · 2025

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