Modeling and estimation of failure probability due to parameter variations in nano-scale SRAMs for yield enhancement
被引:46
作者:
Mukhopadhyay, S
论文数: 0引用数: 0
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机构:
Purdue Univ, Dept Elect & Comp Engn, W Lafayette, IN 47907 USAPurdue Univ, Dept Elect & Comp Engn, W Lafayette, IN 47907 USA
Mukhopadhyay, S
[1
]
Mahmoodi-Meimand, H
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h-index: 0
机构:
Purdue Univ, Dept Elect & Comp Engn, W Lafayette, IN 47907 USAPurdue Univ, Dept Elect & Comp Engn, W Lafayette, IN 47907 USA
Mahmoodi-Meimand, H
[1
]
Roy, K
论文数: 0引用数: 0
h-index: 0
机构:
Purdue Univ, Dept Elect & Comp Engn, W Lafayette, IN 47907 USAPurdue Univ, Dept Elect & Comp Engn, W Lafayette, IN 47907 USA
Roy, K
[1
]
机构:
[1] Purdue Univ, Dept Elect & Comp Engn, W Lafayette, IN 47907 USA
来源:
2004 SYMPOSIUM ON VLSI CIRCUITS, DIGEST OF TECHNICAL PAPERS
|
2004年
关键词:
D O I:
10.1109/VLSIC.2004.1346504
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this paper we have analyzed and modeled the failure probabilities (access time failure, read/write stability failure, and hold stability failure in the stand-by mode) of SRAM cells due to process parameter variations. A method to predict the yield of a memory chip designed with a cell is proposed based on the cell failure probability. The developed method can be used in the early stage of a design cycle to optimize the design for yield enhancement.