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国家自然科学基金(61272122)

作品数:2 被引量:2H指数:1
相关作者:蔡瑞吴黎兵文鹏更多>>
相关机构:武汉大学更多>>
发文基金:国家自然科学基金更多>>
相关领域:自动化与计算机技术更多>>

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Multi-bit soft error tolerable L1 data cache based on characteristic of data value
2015年
Due to continuous decreasing feature size and increasing device density, on-chip caches have been becoming susceptible to single event upsets, which will result in multi-bit soft errors. The increasing rate of multi-bit errors could result in high risk of data corruption and even application program crashing. Traditionally, L1 D-caches have been protected from soft errors using simple parity to detect errors, and recover errors by reading correct data from L2 cache, which will induce performance penalty. This work proposes to exploit the redundancy based on the characteristic of data values. In the case of a small data value, the replica is stored in the upper half of the word. The replica of a big data value is stored in a dedicated cache line, which will sacrifice some capacity of the data cache. Experiment results show that the reliability of L1 D-cache has been improved by 65% at the cost of 1% in performance.
王党辉刘合朋陈怡然
关键词:RELIABILITYREPLICA
一种基于潜在类别模型的新闻推荐方法被引量:2
2014年
设计一种基于潜在类别模型的新闻推荐模型,包含用户、新闻关键词和新闻类别三个外显变量及一个潜在类别变量。将用户、新闻和类别分别归类到相应的潜在类别中,根据用户兴趣偏好预测用户登陆新闻网站后可能访问的新闻项,生成个性化的新闻推荐序列,并通过实验证明了该三元模型的优越性。
文鹏蔡瑞吴黎兵
关键词:用户偏好用户模型
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