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

• Analysis of applications for fdp-ssd storage systems, Samsung Electronics, 2022.06-2026.05
  • Investigate application characteristics for specialized-SDDs and explore design space.

[ Past Grants ]