MBIST Controller Based on March-ee Algorithm

Author:

Ahmed Mohammed Altaf1ORCID,Abuagoub Ali Ma1

Affiliation:

1. Department of Computer Engineering, College of Computer Engineering & Sciences, Prince Sattam bin Abdulaziz University — Saudi Arabia

Abstract

In the modern System on Chip (SoC)-based designs, embedded memory occupies the majority of the area. Therefore, the demand for fast self-testing plays a vital role in the SoC device as its memory density increases. The focus of this research study is to provide a self-testing mechanism integrated with the SoC design for fault diagnosis and failure analysis. In particular, this paper proposes a controller design to test memories at SoC devices, called a memory built-in self-test (MBIST) controller. This controller works on the principle of the proposed March-ee (enhanced elements) algorithm with the primary objective to improve the test speed, fault coverage, and power consumption at a low area overhead. The complete design of the MBIST controller with the associated March-ee algorithm is minimal and easy to be integrated into any SoC device to provide a vibrant feature of memory fault detection. The results obtained are compared with that provided by the existing March algorithms, using the same design specifications, where the proposed March-ee MBIST controller has shown better results in terms of power consumption, fault coverage, timing, and area.

Funder

Prince Sattam bin Abdulaziz University

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MBIST Implementation and Evaluation in FPGA Based on Low-Complexity March Algorithms;Journal of Circuits, Systems and Computers;2023-12-28

2. Novel March WY Approach for Dynamic Fault Detection in Memory BIST;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18

3. Automated Fault Analyzer for March Algorithm Dynamic Fault Detection Analysis;2022 IEEE 20th Student Conference on Research and Development (SCOReD);2022-11-08

4. Deep Q-Learning with Bit-Swapping-Based Linear Feedback Shift Register fostered Built-In Self-Test and Built-In Self-Repair for SRAM;Micromachines;2022-06-19

5. Generation of New Low-Complexity March Algorithms for Optimum Faults Detection in SRAM;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2022

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