Embedded DRAM (eDRAM) power-energy estimation using signal swing-based analytical model

Abstract

Embedded-DRAM (eDRAM) power-energy estimation model is proposed for system-on-a-chip (SOC) applications. The main feature is the signal swing based analytic (SSBA) model, which improves the accuracy of the conventional SRAM power-energy models. The power-energy estimation using SSBA model shows 95% accuracy compared with the transistor level power simulation for three fabricated eDRAMs. The SSBA model combined with the high-level simulator provides fast and accurate system level power-energy estimation of eDRAM.