Wavelength-routing interconnect "Optical Hub" for parallel computing systems
Wavelength-routing interconnect "Optical Hub" for parallel computing systems
复制标题
用于并行计算系统的波长路由互连“光集线器”
DOI：
10.1145/3368474.3368495
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
S. Nakamura
中科院分区：
文献类型：
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作者：
Y. Urino;K. Mizutani;Tatsuya Usuki;S. Nakamura
为了解决并行计算系统中节点间的带宽瓶颈问题，提出了一种波长路由的节点间互连光集线器。光集线器的物理拓扑结构是星星网络，这导致其吞吐量，规模，能耗和寿命成本方面的优势。逻辑拓扑是全网状网络，这导致其延迟和可靠性方面的优势。我们引入了多路径路由，通过用我们的包装器函数取代传统的MPI函数，扩展了全网状拓扑（如Optical Hub）的有效带宽。利用并行计算模拟器SimGrid，在基于Optical Hub的并行计算系统上模拟了并行基准测试的执行时间。实验结果表明，采用光集线器的并行计算系统比传统并行计算系统具有更高的性能和更低的能耗。我们还研究了光集线器的可扩展性，并表明光集线器的递归分层配置可以在针对Dragonfly网络的大量节点的情况下大幅节省电缆数量。
To solve the inter-node bandwidth bottleneck in parallel computing systems, we propose a wavelength-routing inter-node interconnect "Optical Hub". The physical topology of Optical Hub is star network, which leads to advantages in term of its throughput, size, energy consumption and life-time cost. The logical topology is full-mesh network, which leads to advantages in term of its latency and reliability. We introduced multi-path routings, which expand the effective bandwidth with the full-mesh topology such as Optical Hub, by replacing conventional MPI functions with our wrapper functions. We simulated execution time of parallel benchmarks on the parallel computing system with Optical Hub using parallel computing simulator SimGrid. As a result, we have confirmed that the parallel computing system with Optical Hub can achieve higher performance and lower energy consumption than conventional ones. We also examined the scalability of Optical Hub and showed that recursive hierarchical configurations of Optical Hub can save cable count drastically in case of large number of nodes against Dragonfly networks.