ARCS

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 ]