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Yield Enhancement Techniques for 3D Memories by Redundancy Sharing among All Layers
Author(s) -
Lee Joohwan,
Park Kihyun,
Kang Sungho
Publication year - 2012
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.12.0111.0643
Subject(s) - redundancy (engineering) , parallel computing , computer science , selection (genetic algorithm) , yield (engineering) , overhead (engineering) , layer (electronics) , embedded system , materials science , artificial intelligence , nanotechnology , operating system , metallurgy
Three‐dimensional (3D) memories using through‐silicon vias (TSVs) will likely be the first commercial applications of 3D integrated circuit technology. A 3D memory yield can be enhanced by vertical redundancy sharing strategies. The methods used to select memory dies to form 3D memories have a great effect on the 3D memory yield. Since previous die‐selection methods share redundancies only between neighboring memory dies, the opportunity to achieve significant yield enhancement is limited. In this paper, a novel die‐selection method is proposed for multi‐layer 3D memories that shares redundancies among all of the memory dies by using additional TSVs. The proposed method uses three selection conditions to form a good multi‐layer 3D memory. Furthermore, the proposed method considers memory fault characteristics, newly detected faults after bonding, and multiple memory blocks in each memory die. Simulation results show that the proposed method can significantly improve the multi‐layer 3D memory yield in a variety of situations. The TSV overhead for the proposed method is almost the same as that for the previous methods.

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