LORAX：高能效硅光子网络片上的损耗感知近似
LORAX: Loss-Aware Approximations for Energy-Efficient Silicon Photonic Networks-on-Chip
摘要：
近似计算范式提倡放松应用程序的精度目标，以提高能效和性能。最近，这种范例已经被探索以提高硅光子片上网络（PNoCs）的能量效率。在本文中，我们提出了一种新的框架（LORAX），使更积极的近似在PNoCs的硅光子链路通信。鉴于硅光子互连由于产生用于光子通信的波长的激光源而具有显著的功率耗散，我们的框架尝试在智能地近似通信的同时降低激光功率开销，使得应用输出质量不失真超过可接受的限制。据我们所知，这是第一项考虑损耗感知激光功率管理和多级信令以实现PNoCs中有效数据近似和能效的工作。仿真结果表明，在相同的应用输出质量下，我们的框架可以比硅光子互连近似通信的最佳已知先前工作降低高达31.4%的激光器功耗和高达12.2%的能量效率
英文摘要：
The approximate computing paradigm advocates for relaxing accuracy goals in applications to improve energy-efficiency and performance. Recently, this paradigm has been explored to improve the energy efficiency of silicon photonic networks-on-chip (PNoCs). In this paper, we propose a novel framework (LORAX) to enable more aggressive approximation during communication over silicon photonic links in PNoCs. Given that silicon photonic interconnects have significant power dissipation due to the laser sources that generate the wavelengths for photonic communication, our framework attempts to reduce laser power overheads while intelligently approximating communication such that application output quality is not distorted beyond an acceptable limit. To the best of our knowledge, this is the first work that considers loss-aware laser power management and multilevel signaling to enable effective data approximation and energy-efficiency in PNoCs. Simulation results show that our framework can achieve up to 31.4% lower laser power consumption and up to 12.2% better energy efficiency than the best known prior work on approximate communication with silicon photonic interconnects, for the same application output quality
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