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Beyond von-Neumann Computing with Nanoscale Phase-Change Memory Devices

机译：纳米级相变存储设备超越冯·诺依曼计算

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摘要

Historically, the application of phase-change materials and devices has been limited to the provision of non-volatile memories. Recently, however, the potential has been demonstrated for using phase-change devices as the basis for new forms of brain-like computing, by exploiting their multilevel resistance capability to provide electronic mimics of biological synapses. Here, a different and previously under-explored property that is also intrinsic to phase-change materials and devices, namely accumulation, is exploited to demonstrate that nanometer-scale electronic phase-change devices can also provide a powerful form of arithmetic computing. Complicated arithmetic operations are carried out, including parallel factorization and fractional division, using simple nanoscale phase-change cells that process and store data simultaneously and at the same physical location, promising a most efficient and effective means for implementing beyond von-Neumann computing. This same accumulation property can be used to provide a particularly simple form phase-change integrate-and-fire "neuron", which, by combining both phase-change synapse and neuron electronic mimics, potentially opens up a route to the realization of all-phase-change neuromorphic processing.
机译：从历史上看，相变材料和设备的应用仅限于提供非易失性存储器。然而，最近，通过利用相变设备的多级抵抗能力来提供生物突触的电子模拟，已经证明了将相变设备用作新形式的类脑计算的基础的潜力。在这里，利用不同的且先前未充分开发的属性（对于累积）也是相变材料和设备所固有的，以证明纳米级电子相变设备还可以提供强大的算术计算形式。使用简单的纳米级相变单元执行复杂的算术运算，包括并行分解和分数除法，这些单元可以在同一物理位置同时处理和存储数据，有望成为实现冯·诺依曼计算以外最有效的手段。这种相同的累积特性可用于提供一种特别简单的形式的相变积分并发射“神经元”，通过结合相变突触和神经元电子模拟物，它有可能为实现全能态开辟一条道路。相变神经形态加工。

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  • 来源
    《Advanced Functional Materials》 |2013年第18期|2248-2254|共7页
  • 作者

    C David Wright; Peiman Hosseini; Jorge A. Vazquez Diosdado;

  • 作者单位

    College of Engineering Mathematics and Physical Sciences University of Exeter Exeter EX4 4QF, UK;

    College of Engineering Mathematics and Physical Sciences University of Exeter Exeter EX4 4QF, UK;

    College of Engineering Mathematics and Physical Sciences University of Exeter Exeter EX4 4QF, UK;

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