DocumentCode :
1342331
Title :
Testing content-addressable memories using functional fault models and march-like algorithms
Author :
Lin, Kun-Jin ; Wu, Cheng-Wen
Author_Institution :
Consumer Electron. Hardware Design Dept., Winbond Electron. Co., Hsinchu, Taiwan
Volume :
19
Issue :
5
fYear :
2000
fDate :
5/1/2000 12:00:00 AM
Firstpage :
577
Lastpage :
588
Abstract :
Functional tests for content-addressable memories (CAM´s) are presented in this paper. In addition to several traditional functional fault models for RAM´s, we also consider the fault models based on physical defects, such as shorts between two circuit nodes and transistor stuck-on and stuck open faults. Accordingly, several functional fault models are proposed. In order to make our approach suited to various application-specific CAM´s, we propose tests which require only three fundamental types of operation (i.e., write, erase, and compare), and the test results can be observed entirely from the single-bit Hit output. A complete, compact test is also proposed, which has low complexity and is suitable for modern high-density and large-capacity CAMs-it requires only 2N+3w+2 compare operations and 8N write operations to cover the functional fault models discussed, where N is the number of words and w is the word length
Keywords :
content-addressable storage; fault diagnosis; integrated circuit testing; integrated memory circuits; logic testing; CAM testing; application-specific CAMs; associative memory; compact test; content-addressable memories; functional fault models; low complexity test; march-like algorithms; physical defects; transistor stuck open faults; transistor stuck-on faults; Application software; CADCAM; Circuit faults; Circuit testing; Computer aided manufacturing; Computer networks; Logic testing; Random access memory; Read-write memory; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0070
Type :
jour
DOI :
10.1109/43.845082
Filename :
845082
Link To Document :
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