Two professors receive NSF CAREER awards
Chen’s project “Dependable High Performance Scientific Computing at Extreme Scale via Algorithmic Fault Tolerance," seeks to create dependable high performance computing. Extreme scale high-end computing platforms are expected to be available before 2020 and will have 100 million to 1 billion CPU cores – due to the large number of components in these platforms, the probability that errors will occur during the execution of an extreme scale application is expected to be much higher than observed today. The goal of this CAREER research project is to develop highly efficient techniques to detect, locate and correct both soft and hard errors according to the specific characteristics of an algorithm.
Wakin’s project is “New Models, Representations, and Dimensionality Reduction Techniques for Structured Data Sets.” A significant byproduct of the modern Information Age has been an explosion in the sheer quantity of data demanded from sensing systems. This project focuses on developing effective new frameworks for data acquisition, processing and understanding that will help meet the technological challenges posed by this ever growing demand for information.
Karen Gilbert, Director of Public Relations / 303-273-3541 / KGilbert@mines.edu