发明名称 |
Hybrid Memory Failure Bitmap Classification |
摘要 |
Aspects of the invention relate to techniques for classifying memory failure bitmaps using both rule-based classification and artificial neural network-based classification methods. The rule-based classification method employs classification rules comprising those for global failure patterns. The artificial neural network-based classification method classifies local failure patterns. One of the artificial neural network models is the Kohonen self-organizing map model. The input vector for a failure pattern may contain four elements: pattern aspect ratio, failing bit ratio, dominant failing column number and dominant failing row number. |
申请公布号 |
US2013219216(A1) |
申请公布日期 |
2013.08.22 |
申请号 |
US201313769230 |
申请日期 |
2013.02.15 |
申请人 |
MENTOR GRAPHICS CORPORATION;MENTOR GRAPHICS CORPORATION |
发明人 |
HUANG YU;CHENG WU-TUNG;SCHUERMYER CHRISTOPHER W. |
分类号 |
G06F11/07 |
主分类号 |
G06F11/07 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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