Bandwidth Allocation in Silicon-Photonic Networks Using Application Instrumentation

A. Narayan, A. Joshi, A. Coskun
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Abstract

Photonic network-on-chips, despite their low-latency and high-bandwidth-density advantages in large manycore systems, suffer from high power overhead. This overhead is further exacerbated by the high bandwidth demands of data-centric applications. Prior works utilize bandwidth allocation policies at system-level to minimize photonic power and provide required bandwidth for applications. We present an approach to minimize the bandwidth requirements by instrumenting an application at the software level. This instrumented information is used to assist bandwidth allocation at system-level, thereby reducing the photonic power. We instrument PageRank application and demonstrate 35% lower power using instrumentation-assisted bandwidth allocation on PageRank running real-world graphs compared to bandwidth allocation on uninstrumented PageRank.
基于应用仪器的硅光子网络带宽分配
尽管光子片上网络在大型多核系统中具有低延迟和高带宽密度的优势,但其功耗较高。以数据为中心的应用程序的高带宽需求进一步加剧了这种开销。先前的工作利用系统级的带宽分配策略来最小化光子功率并为应用提供所需的带宽。我们提出了一种通过在软件级别检测应用程序来最小化带宽需求的方法。这些仪器信息用于辅助系统级的带宽分配,从而降低光子功率。我们测量了PageRank应用程序,并演示了在运行真实图形的PageRank上使用仪器辅助带宽分配比在未测量的PageRank上使用带宽分配低35%的功耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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