论文标题
分解数据中心的光学连接存储器
Optically Connected Memory for Disaggregated Data Centers
论文作者
论文摘要
综合光子学的最新进展使得能够在下一代数据中心实施可重新配置，高带宽和低能量的互连。我们提出并评估了一个光学连接的内存（OCM）体系结构，该内存将主要内存与数据中心的计算节点分解。 OCM基于微环谐振器（MRRS），并且不需要对DRAM内存模块进行任何修改。我们将实际光子设备的能源消耗计算，并将它们集成到系统模拟器中以评估性能。我们的结果表明，（1）OCM能够使用两个具有1.07 PJ PJ Energy消耗的纤维将四个DDR4存储通道与计算节点相互连接，并且（2）OCM的性能要比与40G使用40G PCIE NIC COMPARING NIC COMPUTOR到Computing Nodes的内存更快地执行5.5倍。
Recent advances in integrated photonics enable the implementation of reconfigurable, high-bandwidth, and low energy-per-bit interconnects in next-generation data centers. We propose and evaluate an Optically Connected Memory (OCM) architecture that disaggregates the main memory from the computation nodes in data centers. OCM is based on micro-ring resonators (MRRs), and it does not require any modification to the DRAM memory modules. We calculate energy consumption from real photonic devices and integrate them into a system simulator to evaluate performance. Our results show that (1) OCM is capable of interconnecting four DDR4 memory channels to a computing node using two fibers with 1.07 pJ energy-per-bit consumption and (2) OCM performs up to 5.5x faster than a disaggregated memory with 40G PCIe NIC connectors to computing nodes.
