General areas: high performance computing and computer architecture.
- Neuromorphic computing: This project aims to develop computing
architectures to implement models of the neocortex. The architectures being developed are
based on hierarchical cortical column models of the neocortex. These
models were developed very recently and are related to the
reverse engineering the brain grand challenge outlined by the National
Academies of Engineering. Both large scale supercomputer based systems and embedded computing architectures to
implement these models are being developed. This work has applications in
image recognition, data mining, and homeland security. This
supported by an NSF CAREER award and grants from the US Air Force.
- Processor performance prediction: The time to design
microprocessors in increasing steadily as systems become more complex.
Evaluating different design alternatives through simulation is a time
consuming and expensive process. This work aims to reduce this time and
cost through perfomance prediction models.
- Accelerating image processing: We are collaborating with the
National Ignition Facility at the Lawnrence Livermore Laboratory to
accelerate a set of image processing applications on FPGAs. These
applications are related to the calibration of lasers for use in fusion
based power plants to generate abundant amounts of clean energy.
Office: 241B Kettering Labs
Voice: (937) 229-3119
FAX: (937) 229-4529
Address: 300 College Park, Dayton, OH 45469-0232