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A Die-Selection Method Using Search-Space Conditions for Yield Enhancement in 3D Memory

  • Lee, Joo-Hwan (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Park, Ki-Hyun (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Kang, Sung-Ho (Department of Electrical and Electronic Engineering, Yonsei University)
  • Received : 2011.02.25
  • Accepted : 2011.05.06
  • Published : 2011.12.31

Abstract

Three-dimensional (3D) memories using through-silicon vias (TSVs) as vertical buses across memory layers will likely be the first commercial application of 3D integrated circuit technology. The memory dies to stack together in a 3D memory are selected by a die-selection method. The conventional die-selection methods do not result in a high-enough yields of 3D memories because 3D memories are typically composed of known-good-dies (KGDs), which are repaired using self-contained redundancies. In 3D memory, redundancy sharing between neighboring vertical memory dies using TSVs is an effective strategy for yield enhancement. With the redundancy sharing strategy, a known-bad-die (KBD) possibly becomes a KGD after bonding. In this paper, we propose a novel die-selection method using KBDs as well as KGDs for yield enhancement in 3D memory. The proposed die-selection method uses three search-space conditions, which can reduce the search space for selecting memory dies to manufacture 3D memories. Simulation results show that the proposed die-selection method can significantly improve the yield of 3D memories in various fault distributions.

Keywords

References

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  1. Yield Enhancement Techniques for 3D Memories by Redundancy Sharing among All Layers vol.34, pp.3, 2011, https://doi.org/10.4218/etrij.12.0111.0643
  2. A Survey of Repair Analysis Algorithms for Memories vol.49, pp.3, 2011, https://doi.org/10.1145/2971481