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    • 4. 发明申请
    • Method and computer program for efficient cell failure rate estimation in cell arrays
    • 用于单元阵列中有效单元故障率估计的方法和计算机程序
    • US20070220455A1
    • 2007-09-20
    • US11375477
    • 2006-03-14
    • Rajiv JoshiRouwaida KanjSani Nassif
    • Rajiv JoshiRouwaida KanjSani Nassif
    • G06F17/50
    • G06F17/5036G11C29/028G11C29/54G11C29/56004G11C29/56008G11C2029/0403
    • A method and computer program for efficient cell failure rate estimation in cell arrays provides an efficient mechanism for raising the performance of memory arrays beyond present levels/yields. An initial search is performed across cell circuit parameters to determine failures with respect to a set of performance variables. For a single failure region the initial search can be a uniform sampling of the parameter space and when enough failure points have been accumulated, a mean is chosen from the mean of the detected failure points. Mixture importance sampling (MIS) is then performed to efficiently estimate the single failure region. For multiple failure regions, a particular failure region is selected by varying the memory circuit cell parameters along a random set of vectors until failures are detected, thus identifying the boundary of the failure region of interest as the closest failure region. A new mean is chosen for MIS in conformity with the location of the detected boundary.
    • 用于在单元阵列中有效的单元故障率估计的方法和计算机程序提供了一种有效的机制,用于提高存储器阵列的性能超过现有水平/产量。 在单元电路参数之间执行初始搜索以确定关于一组性能变量的故障。 对于单个故障区域,初始搜索可以是参数空间的均匀采样,并且当已经累积了足够的故障点时,从检测到的故障点的平均值中选择一个平均值。 然后执行混合重要性采样(MIS)以有效地估计单个故障区域。 对于多个故障区域,通过沿随机矢量集改变存储器电路单元参数直到检测到故障来选择特定故障区域,从而将感兴趣的故障区域的边界识别为最接近的故障区域。 根据检测到的边界的位置,为MIS选择新的平均值。