DAAS: Differential Aging-Aware STA for Precise Timing Closure With Reduced Design Margin

This article introduces DAAS, a Differential Aging-Aware Static Timing Analysis methodology built upon an Effective Current Source Model (ECSM). The primary objective is to achieve precise timing closure for digital integrated circuits while minimizing design margins. To achieve this goal, we employ a one-time aging simulation using a single MOS device-based approach. This approach estimates the change in threshold voltage (Vth) denoted by (Vth) in a MOS device under diverse operating conditions, such as supply voltage and temperature, in the presence of aging. The estimated value of (Vth) is then used to update the model coefficient of timing models for various combinational gates. These updated models are utilized to generate differential aging-aware standard cell library data in an industry-standard Liberty format. This data can be seamlessly integrated into common STA environments like Synopsys PrimeTime, facilitating the estimation of timing closure for designs with different blocks operating at varying voltages and temperature conditions. The proposed methodology eradicates the need for circuit-level aging simulation to generate differential aging-aware standard cell library data. It demonstrates an average error of 2.5% compared to conventional aging simulation on standard cells using the STMicroelectronics (STM) 28 nm CMOS process. Furthermore, the method significantly reduces the required number of SPICE/aging simulations by approximately 99.984% to generate differential aging-aware standard cell library characterization data. Further, we demonstrate the versatility of the proposed DAAS methodology for the generation of standard cell library data in the case of PDK migration and different device variants without performing full SPICE-level simulations.

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Publication Details

Journal
IEEE Transactions on Device and Materials Reliability
Published
2025-08-26
DOI
https://doi.org/10.1109/tdmr.2025.3603098
Primary Topic
Embedded Systems Design Techniques
Type
article
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article

DAAS: Differential Aging-Aware STA for Precise Timing Closure With Reduced Design Margin

Ajoy Mandal, Lomash Chandra Acharya, Khoirom Johnson Singh, Mahipal Dargupally et al.
IEEE Transactions on Device and Materials Reliability
Embedded Systems Design Techniques
article

DAAS: Differential Aging-Aware STA for Precise Timing Closure With Reduced Design Margin

Ajoy Mandal, Lomash Chandra Acharya, Khoirom Johnson Singh, Mahipal Dargupally, Anand Bulusu, Neeraj Mishra, Sudeb Dasgupta, Venkatraman Ramakrishnan, Arvind Sharma, Neha Gupta
article en

Abstract

This article introduces DAAS, a Differential Aging-Aware Static Timing Analysis methodology built upon an Effective Current Source Model (ECSM). The primary objective is to achieve precise timing closure for digital integrated circuits while minimizing design margins. To achieve this goal, we employ a one-time aging simulation using a single MOS device-based approach. This approach estimates the change in threshold voltage (Vth) denoted by (Vth) in a MOS device under diverse operating conditions, such as supply voltage and temperature, in the presence of aging. The estimated value of (Vth) is then used to update the model coefficient of timing models for various combinational gates. These updated models are utilized to generate differential aging-aware standard cell library data in an industry-standard Liberty format. This data can be seamlessly integrated into common STA environments like Synopsys PrimeTime, facilitating the estimation of timing closure for designs with different blocks operating at varying voltages and temperature conditions. The proposed methodology eradicates the need for circuit-level aging simulation to generate differential aging-aware standard cell library data. It demonstrates an average error of 2.5% compared to conventional aging simulation on standard cells using the STMicroelectronics (STM) 28 nm CMOS process. Furthermore, the method significantly reduces the required number of SPICE/aging simulations by approximately 99.984% to generate differential aging-aware standard cell library characterization data. Further, we demonstrate the versatility of the proposed DAAS methodology for the generation of standard cell library data in the case of PDK migration and different device variants without performing full SPICE-level simulations.

IEEE Transactions on Device and Materials ReliabilityVol. 25(4)
ON Semiconductor (United States) (US), Indian Institute of Technology Roorkee (IN), Manipur University (IN), Texas Instruments (India) (IN), IMEC (BE), Birla Institute of Technology and Science, Pilani (IN), Cypress Semiconductor Corporation (Japan) (JP)
Openalex Percentile: Top 76%
Embedded Systems Design Techniques
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