Performance Analysis of BIST Algorithms

Singh, Nongthombam Imocha; Joshi, Prashant V.

doi:10.17485/ijst/2019/v12i36/147752

Cited by 2 publications

(1 citation statement)

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“…Memory built-in self-test (BIST) is a technique that is very widely used for embedded memory testing. It offers several advantages such as the ability to perform self-test and selfcheck of the output responses without the use of an expensive external tester, and the ability to perform tests on multiple memories in parallel, which allow the reduction in overall test cost and test duration, respectively [8], [11]- [15]. Its efficiency in terms of the fault coverage and also the test duration depends on the test algorithm being used for its implementation [16].…”

Section: Introductionmentioning

confidence: 99%

Automatic generation of user-defined test algorithm description file for memory BIST implementation

Jidin

Hussin

Fook

et al. 2022

IJRES

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Memory built-in self-test (BIST) is a widely used technique to allow the self-test and self-checking of the embedded memories on chips after the fabrication process. It can be used by implementing a standard testing algorithm available in the EDA tool library or a user-defined algorithm (UDA). This paper presents the development of software that automatically generates a description file of a UDA to be deployed for memory BIST circuit implementation using Tessent memory BIST software. It comprises the test setup and also the microprogram coding for each instruction to be executed when performing tests on embedded memories. The proposed automation software was tested by using March SR as the input algorithm and the results obtained from the simulations show that the output test patterns generated by the implemented memory BIST match the expected patterns and passed all the tests, which validated the correct functionality of the UDA description file generation. The proposed automation software also fast generation the UDA description file, which was completed in less than 500 ms.

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Section: Introductionmentioning

confidence: 99%