DocumentCode :
2253742
Title :
Random pattern testing for MCM interconnect using computer generated hologram technology
Author :
Chang, Chi-yuan
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Jinwen Univ. of Sci. Technol., Taipei, Taiwan
Volume :
5
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
2653
Lastpage :
2657
Abstract :
Future computers will need to incorporate the parallelism of optical interconnections in order to achieve projected performance within reasonable size, power, and speed. Optical interconnection provides more advantage than traditional electrical interconnection in large system. In this paper we will propose a Markov model to determine the number of random patterns required for testing of optical interconnect. We describe the random vector to test interconnect and show that a little of random vectors can give close to 100% detection quality. The faults under consideration include stuck-at faults and bridging (short) faults. The simulation results suggest that if the length of boundary scan is large, the traditional method on minimization of test vectors may not lead to a better result. In stead, one should concentrate on choosing the random vector.
Keywords :
computer-generated holography; optical interconnections; MCM interconnect; Markov model; boundary scan; bridging faults; computer generated hologram; optical interconnections; random pattern testing; random vector; stuck-at faults; Computers; Driver circuits; Integrated circuit interconnections; Machine learning; Markov processes; Optical interconnections; Testing; Interconnects; Markov model; Random Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580914
Filename :
5580914
Link To Document :
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