Ganjikunta Ganesh Kumar
Sreenidhi Institute of Science and Technology

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Adaptation of of March-SS algorithm to word-oriented memory built-in self-test and repair Gobinda Prasad Acharya; Muddapu Asha Rani; Ganjikunta Ganesh Kumar; Lavanya Poluboyina
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp96-104

Abstract

The technology shrinkage and the increased demand for high storage memory devices in today’s system on-chips (SoCs) has been the challenges to the designers not only in the design cycle but also to the test engineers in testing these memory devices against the permanent faults, intermittent and soft errors. Around 90% of the chip area in today’s SoCs is being occupied by the embedded memories, and the cost for testing these memory devices contributes a major factor in the overall cost and the time to market. This paperproposes a strategy to develop a word-oriented March SS algorithm-basedmemory built-in self-test (MBIST), which is then applied for memory built-in self-test and repair (MBISTR) strategy. The implementation details for 1 KB of single-port static random-access memory (SRAM) depict that the modified March-SS algorithm based MBISTR-enabled SRAM facilitates self-test and self-repair of embedded memories with a marginal hardware overhead (<1%) in terms of look up tables and slice registers when compared to that of standard SRAM.