Non-Boolean Associative Processing: Circuits, System Architecture, and Algorithms
Non-Boolean Associative Processing: Circuits, System Architecture, and Algorithms
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DOI：
10.1109/jxcdc.2015.2507863
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发表时间：
2015-12-01
影响因子：
2.4
通讯作者：
Levitan, Steven P.
中科院分区：
文献类型：
--
作者：
Fang, Yan;Gnegy, Chet N.;Levitan, Steven P.
我们提出了一种用于模式识别的基于耦合振荡器锁相的分层联想存储器（AM）的设计和性能。耦合振荡器而不是布尔逻辑的使用提供了使用新兴纳米技术的实现，诸如磁自旋扭矩振荡器和谐振体晶体管振荡器，其具有比CMOS解决方案更低能量和更高密度的潜力。我们开发了一个模型的一般行为的弱耦合非线性振荡器，使用耦合CMOS环形振荡器的模拟执行模式匹配。我们推导出一个简单的分析模型，他们的相位锁定行为，并使用这种减少模型在一个分层的AM图像识别任务，如识别手写数字。
We present the design and the performance of a hierarchical associative memory (AM) based on phase locking of coupled oscillators used for pattern recognition. The use of coupled oscillators, rather than Boolean logic, provides for implementations using emerging nanotechnology, such as magnetic spin-torque oscillators and resonant body transistor oscillators, which have the potential of lower energy and higher density than CMOS solutions. We develop a model for the general behavior of weakly coupled nonlinear oscillators that perform pattern matching using a simulation of coupled CMOS ring oscillators. We derive a simple analytic model for their phase locking behavior and use this reduced model in a hierarchical AM for image recognition tasks, such as identifying handwritten numbers.