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