Power Efficient Photonic Network-On-Chip For A Scalable Gpu

In this paper, we propose an energy efficient and scalable optical interconnect for GPUs. We intelligently divide the components in a GPU into different types of clusters and enable these clusters to communicate optically with each other. In order to reduce the network delay, we use separate networks for coherence and non-coherence traffic. Moreover, to reduce the static power consumption in optical interconnects, we modulate the off-chip light source by proposing a novel GPU specific prediction scheme for on-chip network traffic. Using our design, we were able to increase the performance by 17% and achieve a 65% reduction in ED2 as compared to a state-of-the-art optical topology.