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Photonic Network-on-Chip (NoC) Architectures for the High Performance Computing Systems

机译:高性能计算系统的光子片上网络(NoC)架构

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Higher memory-bandwidth requirement in multi-core computing systems to comply with memory requests from large number of cores can be suitably addressed by replacing traditional electrical network-on-chips (ENoCs) with photonic network-on-chips (PNoCs). Further, energy efficiency of these systems can be significantly improved by replacing electronic on-chip interconnects with silicon nanophotonic interconnects which have higher bandwidth and lower latency. However, the ultimate performance of these systems is limited by the static power for laser sources and waveguide propagation losses. LumiNOC is a nanophotonic network-on-chip (PNoC) architecture, which partitions the entire network into multiple subnetworks for better efficiency. It also uses a distributed arbitration scheme and a channel sharing mechanism for data transmission. Laser sources and ring resonators used in this configuration are expected to have matched optical frequencies for reliable operation. But, thermal sensitivity of photonic devices and process parameters variations inherent during manufacturing process always results in frequency mismatch. An adaptive frequency tuning technique can be used to reduce the difference in resonant frequencies among ring resonators, reduce frequency differences for corresponding on-chip lasers and ultimately to reduce the thermal tuning power of LumiNOC structures.
机译:通过用光子片上网络(PNoC)代替传统的片上电子网络(ENoC),可以适当地满足多核计算系统中更高的内存带宽要求,以满足来自大量内核的内存请求。此外,通过用具有较高带宽和较低等待时间的硅纳米光子互连代替电子芯片上互连,可以显着提高这些系统的能量效率。但是,这些系统的最终性能受到激光源的静态功率和波导传播损耗的限制。 LumiNOC是一种纳米光子片上网络(PNoC)架构,它将整个网络划分为多个子网络以提高效率。它还使用分布式仲裁方案和信道共享机制进行数据传输。期望在此配置中使用的激光源和环形谐振器具有匹配的光频率,以实现可靠的操作。但是,光子器件的热灵敏度和制造过程中固有的工艺参数变化始终会导致频率失配。可以使用自适应频率调谐技术来减小环形谐振器之间的谐振频率差异,减小相应的片上激光器的频率差异,并最终减小LumiNOC结构的热调谐功率。

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