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A Die-Selection Method Using Search-Space Conditions for Yield Enhancement in 3D Memory
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  • A Die-Selection Method Using Search-Space Conditions for Yield Enhancement in 3D Memory
  • A Die-Selection Method Using Search-Space Conditions for Yield Enhancement in 3D Memory
저자명
Lee. Joo-Hwan,Park. Ki-Hyun,Kang. Sung-Ho
간행물명
ETRI journal
권/호정보
2011년|33권 6호|pp.904-913 (10 pages)
발행정보
한국전자통신연구원
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

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.