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题名: High-yield Performance-efficient Redundancy Analysis for 2D Memory
作者: Huang, Tsung-Chu
贡献者: 電子工程學系 
关键词: Cluster faults;Fault tollerant;Hypercube;Memory repairing;Redundancy analysis;Remapping architecture
日期: 2011-08
上传时间: 2014-10-27T08:06:24Z
出版者: Springer
摘要: High-yield performance-efficient remapping architecture, repairing algorithms and redundancy analysis (HYPERA) are proposed for 2D memory. The proposed hypercube-based memory repair architecture consists of spare row-like subcubes with a modified ternary CAM with an address concentrator and a parallel sorter-like address concentrator. Generally, for an acceptable repair rate about 3% of spare subcubes and no more than 5% of hardware overhead are required. A modified Quine-McCluskey algorithm and the Essential Cube Pivoting algorithm are also developed for redundancy analysis. Almost 100% of repair rate can be obtained using only 32 equivalent rows under reasonable situations. Under less spare memory the repair rates of proposed approaches can be much higher than most results of previous work.
關聯: Science China Information Sciences, 54(8): 1663-1676
显示于类别:[電子工程學系] 期刊論文


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