Research Area
Key Research Direction: Â Intelligent System Design with Interdisciplinary Study
Cover from high-level system architecture to digital logic design to maximize the system efficiency
Software/hardware co-design, hardware-friendly algorithm development
Full-Stack Optimization for Machine Learning Acceleration
ML for System (Algorithm-hardware co-design)
Algorithm-based studies for future AI applications
Developing hardware-friendly software optimizations
Reducing the burden of computational complexity for the system architecture
System for ML (Accelerator architectures)
Computer architecture
SoC, system architecture design
ALU, computing core design
Area-, power-efficient hardware logic designs
Processing-in-memory (PIM)
High Performance Digital Signal Processing (DSP) Engines
Learn algorithm mapping for supporting operations
High throughput logic designs + reconfigurable core architecture designs
DSP engines for machine learning, wireless communications, etc.