|Department||Electrical and Computer Engineering|
|Office||2124 Hamerschlag Hall|
Power dissipation has become a critical design concern in recent years, driven by the increased levels of complexity and emergence of mobile applications. Our research addresses this problem by providing architectural and software solutions for reducing the energy requirements of general purpose or embedded applications. Since what drives the power consumption of modern processors is the actual software that runs on it, our research also targets techniques for generating energy aware software and microarchitectural mechanisms to support it.
Power optimization of digital systems is not possible without efficient estimation tools for power consumption. This part of our research targets fast, yet sufficiently accurate power estimation tools at different levels of abstraction. Related research directions include theoretical aspects of power analysis and optimization, as well as information-theoretic and probabilistic analysis of digital systems.
Carnegie Mellon, 2000
VLSI/computer architecture, energy aware computing, CAD for integrated systems
University of Southern California