Testing and diagnosis methodologies for embedded content addressable memories

Jin Fu Li, Ruey Shing Tzeng, Cheng Wen Wu

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

Embedded content addressable memories (CAMs) are important components in many system chips where most CAMs are customized and have wide words. This poses challenges on testing and diagnosis. In this paper two efficient March-like test algorithms are proposed first. In addition to typical RAM faults, they also cover CAM-specific comparison faults. The first algorithm requires 9N Read/Write operations and 2(N + W) Compare operations to cover comparison and RAM faults (but does not fully cover the intra-word coupling faults), for an N × W-bit CAM. The second algorithm uses 3N log2 W Write and 2W log2 W Compare operations to cover the remaining intra-word coupling faults. Compared with the previous algorithms, the proposed algorithms have higher fault coverage and lower time complexity. Moreover, it can test the CAM even when its comparison result is observed only by the Hit output or the priority encoder output. We also present the algorithms that can locate the cells with comparison faults. Finally, a CAM BIST design is briefly described.

Original languageEnglish
Pages (from-to)207-215
Number of pages9
JournalJournal of Electronic Testing: Theory and Applications (JETTA)
Volume19
Issue number2
DOIs
Publication statusPublished - 2003 Apr 1

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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