Categories: General Date: Jul 23, 2012 Title: Jiménez receives $350K NSF Grant
The National Science Foundation has awarded a 3-year $350,000 grant to support Daniel Jiménez in research on SHF:CSR:Small:Improving Processor Efficiency with Prediction. Dr. Jiménez is associate professor and chair of the Department of Computer Science at the University of Texas at San Antonio.
For several decades, computers have been getting faster. Much of this improvement in performance is due to Moore's Law, i.e., the rapid growth in the number of devices that can be integrated into a single microchip. However, techniques that exploit the growing resources provided by Moore's Law are often inefficient and wasteful. This project takes a hard look at techniques used to improve performance, showing how resource-hungry techniques can be made less wasteful. The improved structures use techniques borrowed from other areas of Computer Science to predict the near-term resource usage of the computer to do a better job of allocating those resources. These prediction techniques result in a system that is both more power efficient and better performing.
Improvements in power efficiency and performance have a wide-ranging impact, from improving battery life in mobile devices to reducing energy costs and environmental impact of data centers. The project will involve university students in research, helping to train the next generation of technology workers and educators.
For more information: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1216604