A Review Paper On Memory Fault Models And Test Algorithms
Testing embedded memories in a chip can be very challenging due to their high-density nature and manufactured using very deep submicron (VDSM) technologies. In this review paper, functional fault models which may exist in the memory are described, in terms of their definition and detection requireme...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Institute of Advanced Engineering and Science
2021
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| Online Access: | http://eprints.utem.edu.my/id/eprint/25762/2/2021_A%20REVIEW%20PAPER%20ON%20MEMORY%20FAULT%20MODELS%20AND%20TEST%20ALGORITHMS.PDF http://eprints.utem.edu.my/id/eprint/25762/ https://www.beei.org/index.php/EEI/article/view/3048/2409 |
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| Summary: | Testing embedded memories in a chip can be very challenging due to their high-density nature and manufactured using very deep submicron (VDSM) technologies. In this review paper, functional fault models which may exist in the memory are described, in terms of their definition and detection requirement. Several memory testing algorithms that are used in memory built-in self-test (BIST) are discussed, in terms of test operation sequences, fault detection ability, and also test complexity. From the studies, it shows that tests with 22 N of complexity such as March SS and March AB are needed to detect all static unlinked or simple faults within the memory cells. The N in the algorithm complexity refers to Nx*Ny*Nz whereby Nx represents the number of rows, Ny represents the number of columns and Nz represents the number of banks. This paper also looks into optimization and further improvement that can be achieved on existing March test algorithms to increase the fault coverage or to reduce the test complexity. |
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