D3NoC:动态数据驱动的混合光子等离子体NoC

A. Mehrabian, Shuai Sun, Vikram K. Narayana, Jeff Anderson, Jiaxin Peng, V. Sorger, T. El-Ghazawi
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引用次数: 1

摘要

已有研究表明,混合光子等离子体互连(HyPPI)是增强芯片上电子网络(NoCs)的有效候选材料。本文介绍了一种可重构的混合光子等离子体NoC,称为D3NOC,它通过混合光子等离子体互连快速总线智能地增强了电网格。智能使用动态数据驱动应用系统(DDDAS)范例,其中计算和测量形成动态封闭反馈回路。我们的结果显示,与16 × 16基础电网格相比,延迟改善了67%,动态电网改善了69%,超出了开销校正的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
D3NoC: a dynamic data-driven hybrid photonic plasmonic NoC
It was previously shown that Hybrid Photonic Plasmonic Interconnect (HyPPI) is an efficient candidate for augmenting electronic network on chips (NoCs). Here we introduce a reconfigurable Hybrid Photonic Plasmonic NoC termed D3NOC, which intelligently augments electrical meshes with a hybrid photon-plasmon interconnect express bus. The intelligence uses the Dynamic Data Driven Application System (DDDAS) paradigm, where computations and measurements form a dynamic closed feedback loop. Our results show up to 67% latency improvements and 69% dynamic power net improvements beyond overhead-corrected performance compared to a 16 × 16 base electrical mesh.
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