Recent research on nano-oscillators has shown the possibility of using coupled oscillator network as a core computing primitive for non-Boolean computation. The spin-torque oscillator (STO) is an attractive candidate because it is CMOS compatible, highly integrable, scalable, and frequency/phase tunable. Based on these promising features, we propose a new coupled-oscillator based architecture for hybrid spintronic/CMOS hardware that computes multi-dimensional norm. The hybrid system, composed of an array of four injection-locked STOs and a CMOS detector, is experimentally demonstrated. The measured performance is then used as input to simulations that demonstrate the hybrid system as both a distance metric and a convolution computational primitive for image processing applications. Energy and scaling analysis shows that the STO-based coupled oscillatory system has higher efficiency than the CMOS-based system with an order of magnitude faster computation speed in distance computation for high dimensional input vectors.

中文翻译：

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基于耦合自旋转矩振荡器的距离计算：在图像处理中的应用

对纳米振荡器的最新研究表明，使用耦合振荡器网络作为非布尔计算的核心计算原语的可能性。自旋转矩振荡器（STO）是有吸引力的候选者，因为它与CMOS兼容，高度可集成，可扩展且频率/相位可调。基于这些有前途的功能，我们为混合自旋电子/ CMOS硬件提出了一种基于耦合振荡器的新架构，该架构可计算多维范数。实验证明了该混合系统，该系统由四个注入锁定STO的阵列和CMOS检测器组成。然后，将测得的性能用作模拟的输入，以证明混合系统既是距离度量又是图像处理应用的卷积计算原语。