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Structural diagnosis of interconnects by coloring
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Source ACM Transactions on Design Automation of Electronic Systems (TODAES) archive
Volume 3 ,  Issue 2  (April 1998) table of contents
Pages: 249 - 271  
Year of Publication: 1998
ISSN:1084-4309
Authors
X. T. Chen  Texas A&M Univ., College Station
F. J. Meyer  Texas A&M Univ., College Station
F. Lombardi  Texas A&M Univ., College Station
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a new approach for diagnosing shorts in interconnects in which the adjacencies between nets are known. This structural approach exploits different graph coloring techniques to generate a test set with no aliasing and confounding, i.e., full diagnosis (detection and location) is accomplished. Initially, a simple coloring approach based on a greedy condition of the adjacency graph is proposed for fault detection. Then, the conditions for aliasing and confounding are analyzed with respect to the sizes of the possible shorts. These results are used to generate new colors using a process called color mixing. Color mixing guarantees that additional tests, required in order to avoid aliasing/confounding, will use appropriate codes. The characteristics of unbalanced/balanced codes for encoding the colors in the vector-generation process of interconnect diagnosis are discussed and are proved to yield full diagnosis using a novel method. An algorithm for full diagnosis is then presented; this algorithm has an execution complexity of O(max{N 2, N×D 3}) where N is the number of nets and D is the maximum degree of the nodes in the adjacency graph. Simulation results show that the proposed approach requires a smaller number of test vectors than previous approaches.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
X. T. Chen: colleagues
F. J. Meyer: colleagues
F. Lombardi: colleagues