A timing optimization technique for nanoscale CMOS circuits susceptible to process variations
Kumar Yelamarthi, Chien‐In Henry Chen
Abstract
Kumar Yelamarthi, Chien‐In Henry Chen
Abstract
Performance variation is one of the primary concerns in nanoscale CMOS circuits. This performance variation is worse in circuits with multiple timing paths such as those used in microprocessors. In this paper, a Process Variation-aware, Transistor (PVT) sizing algorithm is proposed, which is capable of reducing worst-case delay, delay uncertainty, and delay sensitivity to process variations in nanoscale CMOS circuits. The proposed algorithm is based on identifying the significance of timing paths in a design, and performing respective optimization for optimal design performance. Additional advantages in this algorithm include its simplicity, accuracy, independent of the transistor order, and initial sizing factors. Using 90 nm CMOS process, the proposed algorithm has demonstrated an average improvement in worst-case delay by 36.9%, delay uncertainty by 44.1%, delay sensitivity by 19.8%, and power-delay-product by 35.3% when compared to their initial performances.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Performance variation is one of the primary concerns in nanoscale CMOS circuits. This performance variation is worse in circuits with multiple timing paths such as those used in microprocessors. In this paper, a Process Variation-aware, Transistor (PVT) sizing algorithm is proposed, which is capable of reducing worst-case delay, delay uncertainty, and delay sensitivity to process variations in nanoscale CMOS circuits. The proposed algorithm is based on identifying the significance of timing paths in a design, and performing respective optimization for optimal design performance. Additional advantages in this algorithm include its simplicity, accuracy, independent of the transistor order, and initial sizing factors. Using 90 nm CMOS process, the proposed algorithm has demonstrated an average improvement in worst-case delay by 36.9%, delay uncertainty by 44.1%, delay sensitivity by 19.8%, and power-delay-product by 35.3% when compared to their initial performances.
Key concepts: CMOS, Process variation, Electronic circuit, Sensitivity (control systems), Transistor, Electronic engineering, Sizing, Computer science