| We conduct research on semantics, design
methodologies, and architectures for asynchronous systems.
We have designed and fabricated microprocessors, FPGAs, 2D and 3D
integrated circuits, neuromorphic chips,
as well as developed the necessary software tools to support the hardware.
We also write the necessary EDA tools to support our hardware
development efforts. Overall, the goal of our research is the
design and implementation of efficient and programmable
computation structures.
Efficient programmable substrates:
- Asynchronous FPGAs. This project
investigates pipeline-level programmable asynchronous logic.
- Ultra Low Power Embedded Systems.
Research on ultra low power asynchronous VLSI platforms. Past work
has included the design of ultra low power
asynchronous architectures for sensor network nodes.
- Neuromorphic Computing.
Research on computation structures that are neuroscience-inspired,
and that can be efficiently implemented with asynchronous circuits.
- Asynchronous Computer Architecture.
The goal of this work is to develop new micro-architectures that
exploit the difference between the average case and worst case cycle
time of asynchronous circuits.
Cross-cutting projects:
- Energy-efficient VLSI and Arithmetic.
The goal of this project is to develop design methods and components
for low energy and high
performance design using circuit and algorithmic techniques.
- Design Methodology and Automation.
Theory of concurrent systems as it relates to the design and implementation of
asynchronous VLSI circuits. Emphasis is on techniques that can handle
the design-complexity of large-scale systems, and tool development that
supports design efforts.
Older projects:
Collaborators:
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