论文标题
$ 0.11-0.38 $ PJ/循环差速器振荡器$ 65 $ NM CMO，用于强大的神经计算
A $0.11-0.38$ pJ/cycle Differential Ring Oscillator in $65$ nm CMOS for Robust Neurocomputing
论文作者
论文摘要
本文介绍了用于神经形态应用的低区域和低功率CMOS差异电流控制振荡器（CCO）。通过减少MOS晶体管的数量，从而降低了每个阶段的负载电容器，从而提高了振荡频率。分析表明，对于相同的功耗，与常规噪声相比，振荡频率可以增加约11美元\％$，而不会降低相位噪声。或者，在相同频率下，可以将功耗$ 15 \％$降低。原型结构以标准$ 65 $ nm的CMOS技术制造，测量结果表明，拟议的CCO从0.7-1.2 $ v供应供应量为$ 80 $ MHz的最高频率，能量/周期范围从0.11-0.38 $ pj的PJ在调整范围内。此外，系统级别的模拟表明，如果在训练期间考虑到CCO的当前频率转换中的非线性不会影响其在深神经网络中的神经元的使用。
This paper presents a low-area and low-power consumption CMOS differential current controlled oscillator (CCO) for neuromorphic applications. The oscillation frequency is improved over the conventional one by reducing the number of MOS transistors thus lowering the load capacitor in each stage. The analysis shows that for the same power consumption, the oscillation frequency can be increased about $11\%$ compared with the conventional one without degrading the phase noise. Alternatively, the power consumption can be reduced $15\%$ at the same frequency. The prototype structures are fabricated in a standard $65$ nm CMOS technology and measurements demonstrate that the proposed CCO operates from $0.7-1.2$ V supply with maximum frequencies of $80$ MHz and energy/cycle ranging from $0.11-0.38$ pJ over the tuning range. Further, system level simulations show that the nonlinearity in current-frequency conversion by the CCO does not affect its use as a neuron in a Deep Neural Network if accounted for during training.
