DeepScaleTool : A Tool for the Accurate Estimation of Technology Scaling in the Deep-Submicron Era

02/19/2021
by   Satyabrata Sarangi, et al.
0

The estimation of classical CMOS "constant-field" or "Dennard" scaling methods that define scaling factors for various dimensional and electrical parameters have become less accurate in the deep-submicron regime, which drives the need for better estimation approaches especially in the educational and research domains. We present DeepScaleTool, a tool for the accurate estimation of deep-submicron technology scaling by modeling and curve fitting published data by a leading commercial fabrication company for silicon fabrication technology generations from 130 nm to 7 nm for the key parameters of area, delay, and energy. Compared to 10 nm–7 nm scaling data published by a leading foundry, the DeepScaleTool achieves an error of 1.7 and 5 estimation method that achieves an error of 24 24.9

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro