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Photonic Interconnects for Exascale and Datacenter Architectures

机译:用于Exascale和数据中心架构的光子互连

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摘要

Exascale and datacenter systems require terabits per second of internode communication bandwidth to meet the performance demands of high-performance computing applications. High-radix routers combined with scalable dragonfly topology have been proposed to reduce execution time and improve power dissipation. Although the dragonfly network has low diameter for exascale networks, fewer global links reduce the bisection bandwidth and require adaptive routing to prevent hot spots due to congestion. Moreover, the number of ports in a high-radix router affects the router cost when implemented with alternate emerging technologies. In this article, the authors advocate multitier network topologies that combine scalable topologies for local (intracabinet) and global (intercabinet) interconnects such as the k-ary n-cube, the flattened butterfly, and the dragonfly, to lead to improved bisection, manageable radix, and reduced link costs, albeit at higher packet latency owing to increased diameter. Because the performance per watt delivered by metallic interconnects or coaxial cables significantly exceeds the available power budget, we envision an entire exascale network composed of photonic links for communication and CMOS routers for switching. Results indicate that multitier topologies are comparable to the single-level dragonfly topology in terms of power and latency while providing higher bisection and reduced area overhead.
机译:Exascale和数据中心系统需要每秒兆兆字节的节点间通信带宽,才能满足高性能计算应用程序的性能要求。已经提出了将高基数路由器与可扩展的蜻蜓拓扑相结合,以减少执行时间并改善功耗。尽管蜻蜓网络的直径小至百亿亿美元级,但较少的全局链接减少了对分带宽,并且需要自适应路由以防止由于拥塞而引起的热点。此外,当使用其他新兴技术实现时,高基数路由器中的端口数会影响路由器成本。在本文中,作者提倡多层网络拓扑结构,这些拓扑结构将可扩展拓扑结构结合用于本地(局域网)和全局(机柜间)互连,例如kary n多维数据集,扁平蝴蝶和蜻蜓,以实现改进的对分,可管理尽管由于直径增大而导致数据包延迟增加,但基数和链路成本降低了。由于金属互连或同轴电缆提供的每瓦性能大大超出了可用的功率预算,因此我们设想了一个整个亿兆网络,其中包括用于通信的光子链路和用于交换的CMOS路由器。结果表明,多层拓扑在功率和延迟方面可与单级蜻蜓拓扑媲美,同时提供了更高的二等分和更少的面积开销。

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