DocumentCode
159481
Title
A heuristic path selection method for small delay defects test
Author
Foroutatf, Paniz ; Kamal, Mustaffa ; Navabi, Zainalabedin
Author_Institution
Dept. of Comput. Eng., Islamic Azad Univ., Tehran, Iran
fYear
2014
fDate
1-3 Oct. 2014
Firstpage
252
Lastpage
257
Abstract
By increasing the impact of process variation on the uncertainty of the delay of the gates, and also the need for increasing the number of test paths, delay test has become an essential part of the chip testing. In this paper, a heuristic test path selection method is proposed that is a combination of the non-optimal and optimal selection methods. In the first step of the proposed selection method, the search space is reduced by considering correlations between the paths. Next, by using ILP formulation, best paths from the reduced search space are selected. For the ILP formulation, we have proposed an objective function which considers correlation and the criticality of the paths. The results show that the delay failure capturing probability (DFCP) of the proposed path selection method for eight largest ITC´99 benchmarks, on average, is only about 3% smaller than the Monte Carlo method, while its runtime is about 1340 times smaller than the Monte Carlo approach.
Keywords
Monte Carlo methods; circuit simulation; delay estimation; integrated circuit testing; network analysis; DFCP; ILP formulation; Monte Carlo method; chip testing; delay defects test; delay failure capturing probability; heuristic path selection method; search space; Decision support systems; Delays; Discrete Fourier transforms; Fault tolerance; Fault tolerant systems; Nanotechnology; Very large scale integration; Delay Test; Heuristic Algorithm; ILP Optimization; Path Selection; Process Variation;
fLanguage
English
Publisher
ieee
Conference_Titel
Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2014 IEEE International Symposium on
Conference_Location
Amsterdam
Print_ISBN
978-1-4799-6154-2
Type
conf
DOI
10.1109/DFT.2014.6962082
Filename
6962082
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