智能检测单元：一种用于低功耗非布尔模式识别的可扩展全自旋电路
Smart Detector Cell: A Scalable All-Spin Circuit for Low Power Non-Boolean Pattern Recognition
摘要：
提出了一种新的二值图像非布尔识别电路。采用全自旋逻辑（ASL）设备，我们设计的逻辑比较器和非布尔决策块紧凑和高效的计算。通过在电路的不同阶段中操纵扇入数，该结构可以扩展到更大的训练集或更大的图像。基于主要相似性的思想，该系统能够构建一个平均图像，并在很短的决策时间内将其与单独的输入图像进行比较。利用ASL器件的非易失性，该电路能够进行混合存储器/逻辑运算。与现有的CMOS模式识别电路相比，该电路具有更小的占用空间、更低的功耗、更快的判决时间和更低的工作电压。据我们所知，这是第一个完全自旋为基础的完整的模式识别电路证明使用自旋电子器件。
英文摘要：
We present a new circuit for non-Boolean recognition of binary images. Employing all-spin logic (ASL) devices, we design logic comparators and non-Boolean decision blocks for compact and efficient computation. By manipulation of fan-in number in different stages of the circuit, the structure can be extended for larger training sets or larger images. Operating based on the mainly similarity idea, the system is capable of constructing a mean image and compare it with a separate input image within a short decision time. Taking advantage of the non-volatility of ASL devices, the proposed circuit is capable of hybrid memory/logic operation. Compared with existing CMOS pattern recognition circuits, this work achieves a smaller footprint, lower power consumption, faster decision time and a lower operational voltage. To the best of our knowledge, this is the first fully spin-based complete pattern recognition circuit demonstrated using spintronic devices.
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