Silicon Photonic Enabled Residue Number System Adder and Multiplier

Jiaxin Peng, Shuai Sun, Vikram K. Narayana, T. El-Ghazawi, V. Sorger
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引用次数: 1

Abstract

Here we show a nanophotonic RNS arithmetic implementation by spatially shifting the input waveguides relative to a crossbar routers' outputs, where the moduli are represented by the number of waveguides. This highly parallelizable in-the-network kernel processes information at 10's of ps suitable for real-time computing.
硅光子使能剩余数系统加法器和乘法器
在这里,我们展示了一个纳米光子RNS算法的实现,通过相对于横杆路由器的输出在空间上移动输入波导,其中模量由波导的数量表示。这种高度并行化的网络内核处理信息的速度为10ps,适合于实时计算。
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