MBIST implementation and evaluation in FPGA based on low-complexity March algorithms

Jidin, Aiman Zakwan and Mispan, Mohd Syafiq and Hussin, Razaidi and Weng, Fook Lee (2024) MBIST implementation and evaluation in FPGA based on low-complexity March algorithms. Journal of Circuits, Systems and Computers, 33 (8). 01-17. ISSN 0218-1266

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Abstract

March algorithms are widely used in Memory Built-In Self-Test (MBIST) on-chip memory testing, providing linear test complexities that reduce the test time and cost. However, studies show that March algorithms with complexities lower than 18N have poor coverages of faults that have emerged with the advent of the nanometer process technologies and are more relevant to nowadays memories. New March AZ1 and March AZ2 algorithms, with 13N and 14N complexities, respectively, were introduced to provide optimum coverage of those faults and to produce a shorter test than an 18N-complexity test algorithm with a lesser area overhead, thus reducing chip manufacturing costs. This paper presents the implementation and validation of MBIST controllers that applied the March AZ1 and March AZ2 algorithms in a Field-Programmable Gate Array (FPGA) device. They were implemented in the Intel Max 10 DE10-Lite FPGA Development Board. A test generator was built in FPGA, as an alternative to the external tester, to provide test vectors required in initiating the test on the memory model using the implemented MBIST. The FPGA experimental tests demonstrated that they function correctly as the expected test sequences were observed. In addition, their fault detection abilities were also validated through tests on a fault-injected memory model, which shows that the implemented March AZ1 and March AZ2 provide 80.6% and 83.3% coverage of the intended faults, respectively, which outperform any other existing 14N-complexity March algorithms.

Item Type:	Article
Uncontrolled Keywords:	Design for testability, FPGA, March AZ1, March AZ2, Memory BIST
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	25 Jul 2024 11:28
Last Modified:	25 Jul 2024 11:28
URI:	http://eprints.utem.edu.my/id/eprint/27483
Statistic Details:	View Download Statistic

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