Capturing Process-Voltage-Temperature (PVT) Variations in Architectural Static Power Modeling for SRAM Arrays
Report, 2007

We propose a modeling methodology, including power models, that captures the dependence of leakage power on temperature and supply voltage variations for accurate architectural-level power estimation of physically partitioned and un-partitioned SRAMarrays. A simulation -based modeling approach is used for temperature-aware leakage power estimation, while a physically-based analytical approach is used for modeling the leakage dependence of memory cells on supply voltage. By using the new power models, it is, for example, possible to preserve our previously reported power estimation accuracy of 96% also in the presence of temperature and voltage variations.

SRAM Power Modeling

VLSI

Deep Submicron

CMOS

Power Estimation

Author

Minh Quang Do

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Per Larsson-Edefors

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Mindaugas Drazdziulis

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Subject Categories

Other Electrical Engineering, Electronic Engineering, Information Engineering

Technical report - Department of Computer Science and Engineering, Chalmers University of Technology and Göteborg University: 2007:06

More information

Created

10/7/2017