A Learning-Based Thermal-Sensitive Power Optimization Approach for Optical NoCs
A Learning-Based Thermal-Sensitive Power Optimization Approach for Optical NoCs
复制标题
一种基于学习的光 NoC 热敏功率优化方法
DOI：
10.1145/3173468
复制
发表时间：
2018-07
影响因子：
2.2
通讯作者：
Ye Yaoyao
中科院分区：
文献类型：
--
作者：
Zhang Zhe;Ye Yaoyao
基于硅光子学的片上光网络（NoC）已被提议作为具有大核心数的芯片多处理器的新兴片上通信架构。然而，由于光NoC中使用的光器件具有热敏感性，片上温度变化会导致显着的热致光功率损耗，这将抵消光NoC的功率优势。为了解决这个问题，在这项工作中，我们提出了一种基于学习的热敏感功率优化方法，用于在存在温度变化的情况下基于网状或环面的光学 NoC。提出的关键技术包括设备级优化技术的初始设备设置和热调节机制，以及网络级优化技术的基于学习的热敏自适应路由算法。基于 8x8 网格的光学 NoC 的仿真结果表明，所提出的初始器件设置和热调谐机制通过避免由温度相关的波长偏移引起的显着热致光功率损耗，将最坏情况下的热致光能耗限制在数十 pJ/bit 的数量级。此外，它表明基于学习的热敏自适应路由算法能够为每个通信对找到具有最小估计热致光功耗的最佳路径。所提出的路由有更大的优化空间，特别是对于长距离流量较多的应用。
Optical networks-on-chip (NoCs) based on silicon photonics have been proposed as emerging on-chip communication architectures for chip multiprocessors with large core counts. However, due to the thermal sensitivity of optical devices used in optical NoCs, on-chip temperature variations cause significant thermal-induced optical power loss, which would counteract the power advantages of optical NoCs. To tackle this problem, in this work, we propose a learning-based thermal-sensitive power optimization approach for mesh- or torus-based optical NoCs in the presence of temperature variations. The key techniques proposed include an initial device-setting and thermal-tuning mechanism that is a device-level optimization technique, and a learning-based thermal-sensitive adaptive routing algorithm that is a network-level optimization technique. Simulation results of an 8x8 mesh-based optical NoC show that the proposed initial device-setting and thermal-tuning mechanism confines the worst-case thermal-induced optical energy consumption to be on the order of tens of pJ/bit, by avoiding significant thermal-induced optical power loss caused by temperature-dependent wavelength shifts. Besides, it shows that the learning-based thermal-sensitive adaptive routing algorithm is able to find an optimal path with the minimum estimated thermal-induced optical power consumption for each communication pair. The proposed routing has a greater space for optimization, especially for applications with more long-distance traffic.
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DOI：
10.1109/isvlsi.2010.17
发表时间：
2010-07
期刊：
2010 IEEE Computer Society Annual Symposium on VLSI
影响因子：
--
作者：
M. K. Hung;Yaoyao Ye;Xiaowen Wu;Wei Zhang-;Weichen Liu;Jiang Xu
通讯作者：
M. K. Hung;Yaoyao Ye;Xiaowen Wu;Wei Zhang-;Weichen Liu;Jiang Xu
影响因子：
5.4
作者：
J. Poulton;R. Palmer;Andrew M. Fuller;T. Greer;J. Eyles;W. Dally;M. Horowitz
通讯作者：
J. Poulton;R. Palmer;Andrew M. Fuller;T. Greer;J. Eyles;W. Dally;M. Horowitz
DOI：
10.1109/tvlsi.2010.2089072
发表时间：
2012
影响因子：
2.8
作者：
Zheng Li;Moustafa Mohamed;X. Chen;E. Dudley;Ke Meng;L. Shang;A. Mickelson;R. Joseph;Manish Vachharajani;Brian Schwartz;Yihe Sun
通讯作者：
Zheng Li;Moustafa Mohamed;X. Chen;E. Dudley;Ke Meng;L. Shang;A. Mickelson;R. Joseph;Manish Vachharajani;Brian Schwartz;Yihe Sun
DOI：
10.1109/nocs.2007.35
发表时间：
2007-05
期刊：
First International Symposium on Networks-on-Chip (NOCS'07)
影响因子：
--
作者：
A. Shacham;K. Bergman;L. Carloni
通讯作者：
A. Shacham;K. Bergman;L. Carloni
影响因子：
20.6
作者：
Poon, Andrew W.;Luo, Xianshu;Chen, Hui
通讯作者：
Chen, Hui