HYPERA: High-Yield Performance-Efficient Redundancy Analysis

摘要：

A novel memory repair architecture based on redundant hypercube is proposed, which mainly consists of a modified ternary CAM with an address bubble-shifter. 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.

关键词： memory repairing redundancy analysis remapping architecture hypercube cluster faults fault tollerant

作者: Tsung-Chu Huang Kuei-Yeh Lu Yen-Chieh Huang

作者单位: Department of Electronics Engineering National Changhua University of Education, Changhua,Taiwan Graduate Institute of Integrated Circuit Design National Changhua University of Education, Changhua, Department of Electronics Engineering National Changhua University of Education, Changhua, Taiwan

会议类型: 国际会议

会议名称: 2010 19th IEEE Asian Test Symposium(第19届IEEE亚洲测试技术学术会议 ATS 2010)

会议地点: 上海

会议语种:英文

页码: 231-236

在线出版日期: 2010-12-01（万方平台首次上网日期，不代表论文的发表时间）