EAVREF: An Evolutionary-Algorithm-Based Tool for Low-Power CMOS Voltage Reference Designs

This paper presents EAVREF, a variability-aware evolutionary algorithm (EA)-based tool for low-power, low-voltage CMOS voltage reference (VR) designs. To ensure robustness against manufacturing process variations, the proposed framework integrates Monte Carlo simulations into the EA fitness evaluation. It supports multiple simulators, including the open-source Ngspice and commercial tools such as Hspice and Spectre. The capabilities of EAVREF are demonstrated through design examples in 28 nm, 65 nm, 90 nm, 130 nm, and 180 nm CMOS technologies, and extensive post-layout simulations were conducted to confirm the effectiveness of the approach in achieving variation-tolerant performance.

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Publication Details

Journal
IEEE Design and Test
Published
2025-08-19
DOI
https://doi.org/10.1109/mdat.2025.3600355
Primary Topic
VLSI and FPGA Design Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

EAVREF: An Evolutionary-Algorithm-Based Tool for Low-Power CMOS Voltage Reference Designs

Mariane R. Petraglia, Fabián Olivera, Luciana Faletti Almeida, Ana Italiano et al.
IEEE Design and Test
VLSI and FPGA Design Techniques
article

EAVREF: An Evolutionary-Algorithm-Based Tool for Low-Power CMOS Voltage Reference Designs

Mariane R. Petraglia, Fabián Olivera, Luciana Faletti Almeida, Ana Italiano, Thiago Brito
article en

Abstract

This paper presents EAVREF, a variability-aware evolutionary algorithm (EA)-based tool for low-power, low-voltage CMOS voltage reference (VR) designs. To ensure robustness against manufacturing process variations, the proposed framework integrates Monte Carlo simulations into the EA fitness evaluation. It supports multiple simulators, including the open-source Ngspice and commercial tools such as Hspice and Spectre. The capabilities of EAVREF are demonstrated through design examples in 28 nm, 65 nm, 90 nm, 130 nm, and 180 nm CMOS technologies, and extensive post-layout simulations were conducted to confirm the effectiveness of the approach in achieving variation-tolerant performance.

IEEE Design and TestVol. 43(2)
Universidade Federal do Rio de Janeiro (BR), Federal Center for Technological Education Celso Suckow da Fonseca (BR), Universidade Federal do Amazonas (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Affordable and clean energy
Openalex Percentile: Top 80%
VLSI and FPGA Design Techniques
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