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Recursive Algorithms in Memristive Logic Arrays

机译:忆阻逻辑数组中的递归算法

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摘要

In memristive stateful logic memristors store logic values as their memristance states and perform logical operations on them. This form of logic has been studied intensively since it was first empirically demonstrated in the work of Borghetti , 2010. It has been previously noted that substantial parallelism in stateful computation is required to make this form of logic competetive with conventional logic computing paradigms. In this work we show how a certain class of vectorized recursive algorithms can be computed in a semiconductor/memristor hybrid array structure. This class of algorithms allows efficient computation of many practically important vector operations; examples considered in this paper include the binary sum of vectors, the parity of a vector, and the Hamming weight of a vector. We present theoretical analysis of the time and space complexity of this class of operations, and show examples of this computing method using circuit-level simulations. We also discuss possible applications of these operations in massively parallel memristive array computing.
机译:在忆阻状态逻辑忆阻器中,将逻辑值存储为忆阻状态并对其进行逻辑运算。自从在Borghetti,2010年的工作中首次对这种形式的逻辑进行了深入研究以来,对此进行了深入的研究。以前已经注意到,状态计算中必须具有实质性的并行性,才能使这种形式的逻辑与常规逻辑计算范例竞争。在这项工作中,我们展示了如何在半导体/忆阻器混合阵列结构中计算特定类别的向量化递归算法。这类算法可以有效地计算许多实际重要的向量运算;本文考虑的示例包括向量的二进制和,向量的奇偶校验和向量的汉明权重。我们对此类操作的时间和空间复杂性进行理论分析,并使用电路级仿真显示此计算方法的示例。我们还将讨论这些操作在大规模并行忆阻阵列计算中的可能应用。

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