SRAM Periphery Testing Using the Cell-Aware Test Methodology

Testing memory circuits is crucial for ensuring the quality and reliability of system-on-chip (SoC) designs, especially as shrinking technology nodes increase susceptibility to nanometer-scale defects. This article introduces an enhanced methodology for memory testing, leveraging the cell-aware (CA) test concept. Building on prior work for SRAM array testing (Xhafa et al., 2023), we extend the CA methodology to include periphery testing by generating, for the first time, CA models for each memory input–output (I/O) element, covering key components, such as address decoders, write drivers, and sense amplifiers. We present results from testing these periphery components using the CA methodology. Additionally, we compare existing SRAM testing techniques with our CA methodology for the decoder and I/O circuitry. To ensure a fair comparison, we selected minimal March tests designed to detect functional faults in peripheral circuits, aligning with the fault models targeted by our approach. A quantitative analysis of fault coverage demonstrates the effectiveness of our methodology compared to March algorithms, particularly in terms of test complexity.

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Publication Details

Journal
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Published
2024-11-26
DOI
https://doi.org/10.1109/tcad.2024.3506854
Citations
4
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
Field-Weighted Citation Impact
0.83

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article

SRAM Periphery Testing Using the Cell-Aware Test Methodology

Patrick Girard, Eric Faehn, Xhesila Xhafa, A. Virazel
4 citations
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Integrated Circuits and Semiconductor Failure Analysis
0.83
article

SRAM Periphery Testing Using the Cell-Aware Test Methodology

Patrick Girard, Eric Faehn, Xhesila Xhafa, A. Virazel
article en
4 citations

Abstract

Testing memory circuits is crucial for ensuring the quality and reliability of system-on-chip (SoC) designs, especially as shrinking technology nodes increase susceptibility to nanometer-scale defects. This article introduces an enhanced methodology for memory testing, leveraging the cell-aware (CA) test concept. Building on prior work for SRAM array testing (Xhafa et al., 2023), we extend the CA methodology to include periphery testing by generating, for the first time, CA models for each memory input–output (I/O) element, covering key components, such as address decoders, write drivers, and sense amplifiers. We present results from testing these periphery components using the CA methodology. Additionally, we compare existing SRAM testing techniques with our CA methodology for the decoder and I/O circuitry. To ensure a fair comparison, we selected minimal March tests designed to detect functional faults in peripheral circuits, aligning with the fault models targeted by our approach. A quantitative analysis of fault coverage demonstrates the effectiveness of our methodology compared to March algorithms, particularly in terms of test complexity.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsVol. 44(5)
Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), STMicroelectronics (India) (IN), Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR), STMicroelectronics (France) (FR)
Centre National de la Recherche Scientifique
Openalex Percentile: Top 26%
Integrated Circuits and Semiconductor Failure Analysis
0.83
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