Models and metrics to enable energy-efficiency optimizations

Suzanne Rivoire; Mehul A Shah; Parthasarathy Ranganathan; Christos Kozyrakis; Justin Meza

doi:10.1109/MC.2007.436

Models and metrics to enable energy-efficiency optimizations

Suzanne Rivoire Stanford

Mehul A Shah

Parthasarathy Ranganathan Google

Christos Kozyrakis Stanford

Justin Meza

IEEE Computer, 2007

DOI: 10.1109/MC.2007.436

Abstract

Power consumption and energy efficiency are important factors in the initial design and day-to-day management of computer systems. Researchers and system designers need benchmarks that characterize energy efficiency to evaluate systems and identify promising new technologies. To predict the effects of new designs and configurations, they also need accurate methods of modeling power consumption.

Materials

Bibtex

@inproceedings{2007modelsandmetricstoenableenergyefficiencyoptimizations,
  title = {Models and metrics to enable energy-efficiency optimizations},
  author = {Suzanne Rivoire and Mehul A Shah and Parthasarathy Ranganathan and Christos Kozyrakis and Justin Meza},
  booktitle = {IEEE Computer},
  year = {2007},
  doi = {10.1109/MC.2007.436},
}

Hi, we are the Stanford MAST team

Models and metrics to enable energy-efficiency optimizations

Abstract

Materials

Bibtex