The project is a three-year collaborative effort. The total amount of funding is $487,000, and GW’s portion is $262,000. In this research, Dr. Louri and his team seek to investigate and improve the advances and unique advantages of approximate computing to develop systems in both hardware and software (algorithms) that are low-power, high performance, and error-configurable. The overarching goal of this proposal is to develop computing systems that are capable of adjusting performance by exploiting relationships between hardware and software for different applications such as cognitive processing, digital signal/image processing, big data, and scientific processing. The proposed research is timely and vital for the continued growth of advanced and emerging computer systems.
May 18, 2018