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Title: Yield analysis of nano-crossbar arrays for uniform and clustered defect distributions
Authors: Tunali, Onur
Altun, Mustafa
Electronics and Communication Engineering
Keywords: Switches
Logic functions
Algorithm design and analysis
Programmable logic arrays
Upper bound
Issue Date: 15-Feb-2018
Publisher: IEEE
Citation: O. Tunali and M. Altun, "Yield analysis of nano-crossbar arrays for uniform and clustered defect distributions," 2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Batumi, 2017, pp. 534-537. doi: 10.1109/ICECS.2017.8292053 URL:
Abstract: During the fabrication of nano-crossbar arrays, certain amount of defective elements are introduced to the end product which affect the yield drastically. Current literature regarding the yield analysis of nano-crossbar arrays is very rough and limited to the uniform distribution of defect occurrence with a few exceptions. Since density feature of crossbar architectures is the main attracting point, we perform a detailed yield analysis by considering both uniform and non-uniform defect distributions. Firstly, we briefly explain the present algorithms and their features used in defect tolerant logic mapping. Secondly, we explain different defect distributions and logic function assumptions used in the literature. Thirdly, we formalize an approximate successful mapping probability metric for uniform distributions and determine area overheads. After that, we apply a regional defect density analysis by comparing uniform and clustered defects to formulate a looser upper bound for area overheads regarding clustered distributions. Finally, we conduct extensive experimental simulations with different defect distributions.
Description: This is a conference paper.
Appears in Collections:Elektronik ve Haberleşme Mühendisliği

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