Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4970663 | Integration, the VLSI Journal | 2017 | 12 Pages |
Abstract
Classical scaling equations which estimate parameters such as circuit delay and energy per operation across technology generations have been extremely useful for predicting performance metrics as well as for comparing designs across fabrication technologies. Unfortunately in the CMOS deep-submicron era, the classical scaling equations are becoming increasingly less accurate and new practical scaling methods are needed. We curve fit second and third-order polynomials to circuit delay, energy, and power dissipation results based on HSpice simulations utilizing the Predictive Technology Model (PTM) and International Technology Roadmap for Semiconductors (ITRS) models. While the classical scaling equations give differences as much as 83Ãfrom the predictions of PTM and ITRS models, our predictive polynomial models with table-based coefficients yield a coefficient of determination, or R2, value of greater than 0.95.
Keywords
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Physical Sciences and Engineering
Computer Science
Hardware and Architecture
Authors
Aaron Stillmaker, Bevan Baas,