Injection Locked Spin Torque Nano Oscillators for Low Power Neural Computation

  • Authors:
    Karthik Yogendra (Purdue), Deliang Fan (Purdue), Kaushik Roy (Purdue)
    Publication ID:
    P085375
    Publication Type:
    Presentation
    Received Date:
    3-Sep-2015
    Last Edit Date:
    21-Sep-2015
    Research:
    2455.001 (Purdue University)

Abstract

We present coupled Spin Torque Nano Oscillators (STNOs) as "electronic neurons" for efficient brain-inspired computation. The coupled STNOs show two distinct outputs, depending on whether the frequencies are locked or not. We employ injection locking as the frequency locking mechanism. The neuron firing threshold can be set by tuning the locking range of the injection locked STNOs. We employ a crossbar array of programmable memory devices like memristors to implement 'electronic synapses' that work seamlessly with the coupled STNO's for hardware implementation of neural networks. Results show that neuron model with injection locking can be attractive from scaling point of view and computation like character recognition can be performed with energy consumption per neuron of ~1.8X and ~3X lower than the digital and the analog CMOS counterpart, respectively.

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