基于FPGA的高性能IPV6查找引擎

Thilan Ganegedara, V. Prasanna
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引用次数: 3

摘要

我们提出了一种基于路由表分区的解决方案,用于现场可编程门阵列(fpga)上的高性能IPv6数据包查找引擎。基于从现实骨干IPv6路由表中收集的统计数据,我们提出了一种分区算法,可以创建不连接和平衡的前缀组。为每个分区构建一个范围树来执行IPv6查找。这些范围树被映射到FPGA上的独立管道上,这样对于单个IPv6查找,只有一个分区是活动的。这产生了高动态功率效率,通过选择性级存储器启用。平衡分区使我们能够利用FPGA的内存布局来将管道与片上内存块对齐,以增强性能和资源使用。在最先进的FPGA平台上发布放置和路由结果表明,对于100万条目的IPv6路由表,可以实现200+ Gbps的吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A high-performance IPV6 lookup engine on FPGA
We present a routing table partitioning based solution for a high-performance IPv6 packet lookup engine on Field Programmable Gate Arrays (FPGAs). Based on the statistics collected from real-life backbone IPv6 routing tables, we propose a partitioning algorithm that creates both disjoint and balanced prefix groups. For each partition a range tree is built to perform IPv6 lookup. These range trees are mapped onto independent pipelines on FPGA such that for a single IPv6 lookup, only one partition is active. This yields high dynamic power efficiency via selective stage memory enabling. The balanced partitioning enables us to exploit the memory layout of the FPGA to align the pipeline with the on-chip memory blocks for enhanced performance and resource usage. Post place-and-route results on a state-of-the-art FPGA platform shows that a throughput of 200+ Gbps can be achieved for a 1 million entry IPv6 routing table.
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