Scheduling for Energy Minimization

  Speaker 

  :

Sanjay Ranka, University of Florida, USA

Sanjay Ranka is a Professor in the Department of Computer Science. His current research interests are data mining, informatics and grid computing for data intensive applications. Most recently he was the Chief Technology Officer at Paramark where he developed real-time optimization software for optimizing marketing campaigns. Sanjay has also held positions as a tenured faculty positions at Syracuse University and as a researcher/visitor at IBM T.J. Watson Research Labs and Hitachi America Limited.
Sanjay earned his Ph.D. (Computer Science) from the University of Minnesota in 1988 and a B. Tech. in Computer Science from IIT, Kanpur, India in 1985. He has coauthored two books, seven patents and 160+ journal and conference articles. He serves on the editorial board of the Journal of Parallel and Distributed Computing and was a past member of the Parallel Compiler Runtime Consortium and the Message Passing Initiative Standards Committee. He was one of the main architects of the Syracuse Fortran 90D/HPF compiler. He is a fellow of the IEEE and AAAS, and a member of IFIP Committee on System Modeling and Optimization.

  Abstract

 :

Energy is one of the most valuable and scarcest resources available to
humanity. It is now widely recognized that energy-aware computing is no longer an issue confined to mobile and real-time computing environments, but is important for parallel and distributed computing as well. We will present our research for energy efficient scheduling of workflows on Dynamic Voltage Scaling (DVS) enabled parallel and distributed systems. The DVS technique assigns differential voltages to tasks to minimize energy requirements of an application. http://www.cise.ufl.edu/~ranka/