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High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm

机译:自适应容差算法对忆阻器件的状态进行高精度调整

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Using memristive properties common for titanium dioxide thin film devices, we designed a simple write algorithm to tune device conductance at a specific bias point to 1% relative accuracy (which is roughly equivalent to seven-bit precision) within its dynamic range even in the presence of large variations in switching behavior. The high precision state is nonvolatile and the results are likely to be sustained for nanoscale memristive devices because of the inherent filamentary nature of the resistive switching. The proposed functionality of memristive devices is especially attractive for analog computing with low precision data. As one representative example we demonstrate hybrid circuitry consisting of an integrated circuit summing amplifier and two memristive devices to perform the analog multiply-and-add (dot-product) computation, which is a typical bottleneck operation in information processing.
机译:利用二氧化钛薄膜器件常见的忆阻特性,我们设计了一种简单的写入算法,即使在存在的情况下,也可以在特定偏置点将器件电导调整到其动态范围内相对精度为1%的相对精度(大约相当于7位精度)。开关行为的巨大差异。高精度状态是非易失性的,由于电阻开关的固有丝状特性,其结果对于纳米级忆阻器件很可能得以维持。所提出的忆阻设备的功能对于具有低精度数据的模拟计算特别有吸引力。作为一个有代表性的示例,我们演示了由集成电路求和放大器和两个忆阻器件组成的混合电路,它们可以执行模拟乘加(点积)计算,这是信息处理中的典型瓶颈操作。

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