RESEARCH
Our research covers a wide range of areas, from neuromorphic hardware to AI algorithm, with particular emphasis on neuromorphic hardware / PIM system / algorithm-hardware co-optimization, leveraging various types of memory devices.
Current research topics
Neuromorphic Hardware design based on conventional and emerging memory devices
Research on the hardware-driven AI algorithm improvement
Algorithm and hardware co-optimization for neuromorphic hardware
Process-In-Memory (PIM) application system design based on CMOS peripheral & Memory device co-design
Memory interface (Read/Write/High-speed IO) design and analysis
MTJ-Skyrmion based Spiking Neural Network hardware design & algorithm-level verification
PRAM-based Spiking Neural Network hardware design
PIM application system design for unconventional computing problem solver