论文标题
Lorax：芯片上节能硅光子网络的损失近似
LORAX: Loss-Aware Approximations for Energy-Efficient Silicon Photonic Networks-on-Chip
论文作者
论文摘要
近似计算范式提倡在应用程序中放宽准确性目标，以提高能源效率和性能。最近，已经探索了该范式以提高芯片硅光子网络（PNOCS）的能源效率。在本文中，我们提出了一个新颖的框架（Lorax），以在PNOC中的硅光子链路上进行通信过程中更具侵略性的近似值。鉴于硅光子互连由于激光源产生了用于光子通信的波长而具有显着的功率耗散，因此我们的框架试图减少激光功率的开销，同时智能地近似通信，因此应用程序输出质量不会超出可接受的极限。据我们所知，这是第一项考虑损失激光电源管理和多级信号的工作，以实现PNOC中有效的数据近似和能源效率。仿真结果表明，我们的框架可以达到与硅光子互连的近似近似通信的最著名的先前工作相比，激光消耗量最高31.4％，高达12.2％的能源效率，以相同的申请输出质量
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
