Process variation in nano-scale memories: Failure analysis and process tolerant architecture
被引:10
作者:
Agarwal, A
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机构:
Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47906 USAPurdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47906 USA
Agarwal, A
[1
]
Paul, BC
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h-index: 0
机构:
Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47906 USAPurdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47906 USA
Paul, BC
[1
]
Roy, K
论文数: 0引用数: 0
h-index: 0
机构:
Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47906 USAPurdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47906 USA
Roy, K
[1
]
机构:
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47906 USA
来源:
PROCEEDINGS OF THE IEEE 2004 CUSTOM INTEGRATED CIRCUITS CONFERENCE
|
2004年
关键词:
D O I:
10.1109/CICC.2004.1358819
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 analyze the impact of process variation on the different failure mechanisms in SRAM cells. We also propose a process tolerant cache architecture suitable for high performance memory. This technique surpasses all the contemporary fault tolerant schemes such as row/column redundancy and ECC in handling failures due to process variation. Experimental results on a 64K cache show that the proposed technique can achieve 94% yield compared to its original 33% yield (standard cache) in 45nm predictive technology.