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RSON: An inter/intra-chip silicon photonic network for rack-scale computing systems

机译:RSON:用于机架级计算系统的一个Inter /内部硅光子电路

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摘要

The increasing demand for more computational power from scientific computing, big data processing, and machine learning is pushing the development of HPC (high-performance computing) systems. As the basic HPC building blocks, modularized server racks with a large number of multicore nodes are facing performance and energy efficiency challenges. This paper proposes RSON, an optical network for rack-scale computing systems. RSON connects processor cores, caches, local memories, and remote memories through a novel inter/intra-chip silicon photonic network architecture. We develop a low-latency scalable channel partition and low-power dynamic path priority control scheme for RSON. Experimental results show that RSON can help rack-scale computing systems achieve up to 6.8X higher performance under the same energy consumption than state-of-the-art systems under the latest APEX (application performance at extreme scale) benchmarks.
机译:对来自科学计算,大数据处理和机器学习的更多计算能力的需求越来越大推动了HPC(高性能计算)系统的开发。作为基本HPC构建块,具有大量多核节点的模块化服务器机架面临性能和能效挑战。本文提出了RSON,一种用于机架式计算系统的光网络。 RSON通过新颖的/内部硅光子网络架构连接处理器核心,缓存,局部存储器和远程存储器。我们开发一个低延迟可扩展的信道分区和RSON的低功耗动态路径优先级控制方案。实验结果表明,RSON可以帮助机架级计算系统在与最新的APEX(极端规模以极端规模)基准测试的最新系统相同的能耗下高达6.8倍的性能。

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