Jul 02, 2022

SKKU

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RESEARCH

Our research has focused on system optimizations for interesting applications in modern eras, which include deep learning frameworks and big data analysis platforms. Our current interests include:

  • Compiler Optimization for GPU/FPGA Computing
  • Platform Optimization for Big Data/Machine Learning Frameworks
  • System Software Design for Non-Volatile Memories
  • Static/Dynamic Program Analysis for Performance and Security

Current Grants

  • Optimizing storage systems and application frameworks for next generation computing environment, Samsung Electronics, 2019-2022
    • Investigate programming environment for SmartSDD which comes with FPGA and SSD in a combined form factor.
  • Improving FPGA Programmability for Big Data Analytics, National Research Foundation (NRF), 2021-2025
    • Investigate techniques to improve FPGA programmability for big data analytics frameworks.
  • Research on Edge-Native Operating Systems for Edge Micro-Data-Centers, Institute of Information & Communications Technology Planning & Evaluation (IITP), 2021-2024
    • Develop abstraction techniques in compilers for HW-accelerators in EMDC operating systems.

[ Past Grants ]

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