 | 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 ]