Computing Technology Lab

The Computing Technology Lab is committed to the cutting-edge research on computing, storage, and interconnection, exploring the full-stack implementation from system architecture to IC design technologies. The Lab adopts both top-down (application-driven) and bottom-up (technology-driven) research methods. Leveraging years of experience in fields such as system architecture, computer architecture, and IC design optimization, the Lab develops innovative systems that help optimize usage of computing resources and adapt to new computing architectures to boost computing capabilities.

Research Focus

Research Focus

System Architecture

The lab delves into the design of system software and hardware, including instruction sets, architectures, programming languages, compilation technologies, and benchmark tests for new computing technologies.

Computing Technologies

In a top-down manner, the lab studies application-driven computing technologies. Fields of study include applications, algorithms, architectures, circuit design, design automation, and ultra-low-power IC design of new computing technologies.

Memory Technologies

In a bottom-up manner, the lab works on new storage technologies based on the application of new storage devices in computing systems. The lab focuses on innovative architecture, three-dimensional memory, non-volatile memory, and in-memory computing technology.

Interconnect Technologies

The lab investigates innovative intra-chip and inter-chip interconnect architectures and implementations, including network-on-chip, die-to-die/socket-to-socket interconnects, optical interconnects, etc.

IC Engineering

The lab also endeavors to apply their research to real products. This leads to the R&D of architecture and system of application-specific, high-performance, and low-power computing acceleration chips.