Minh Q. Do, Chalmers University of Technology, Sweden
We propose an accurate architecture-level power estimation method for SRAM memories. This hybrid method is composed of an analytical part for dynamic power estimation and a circuit-simulation backend used to obtain static leakage power values of all basic memory components. The method is flexible in that memory size is an arbitrary parameter. In a comparison to circuit-level simulations (Hspice) of complete 2 KBytes and 8 KBytes 6T-SRAM memories implemented both in 0.13-?m and 65-nm (BPTM) bulk CMOS processes, the proposed method shows a high accuracy in estimating leakage power.
Citation:
Minh Q. Do, Mindaugas Dra?zd?ziulis, Per Larsson-Edefors, Lars Bengtsson, "Parameterizable Architecture-Level SRAM Power Model Using Circuit-Simulation Backend for Leakage Calibration," isqed, pp.557-563, 7th International Symposium on Quality Electronic Design (ISQED'06), 2006