Defect Consideratons for Robust Sparse Coding Using Memristor Arrays

被引：0
作者：
Sheridan, Patrick [1 ]
Lu, Wei D. [1 ]
机构：
[1] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
来源：
PROCEEDINGS OF THE 2015 IEEE/ACM INTERNATIONAL SYMPOSIUM ON NANOSCALE ARCHITECTURES (NANOARCH 15) | 2015年
关键词：
Memristor; fault tolerance; sparse coding; crossbar;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The performance of a memristor network with defects is investigated on a sparse coding task. It was found that moderate levels SA0 faults do not significantly impact algorithm performance, while SA1 faults effectively reduce dictionary size.
引用
收藏
页码：137 / 138
页数：2
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