{"title":"P4-Compatible High-Level Synthesis of Low Latency 100 Gb/s Streaming Packet Parsers in FPGAs","authors":"Jeferson Santiago da Silva, F. Boyer, J. Langlois","doi":"10.1145/3174243.3174270","DOIUrl":null,"url":null,"abstract":"Packet parsing is a key step in SDN-aware devices. Packet parsers in SDN networks need to be both reconfigurable and fast, to support the evolving network protocols and the increasing multi-gigabit data rates. The combination of packet processing languages with FPGAs seems to be the perfect match for these requirements. In this work, we develop an open-source FPGA-based configurable architecture for arbitrary packet parsing to be used in SDN networks. We generate low latency and high-speed streaming packet parsers directly from a packet processing program. Our architecture is pipelined and entirely modeled using templated \\textttC++ classes. The pipeline layout is derived from a parser graph that corresponds to a P4 code after a series of graph transformation rounds. The RTL code is generated from the \\textttC++ description using Xilinx Vivado HLS and synthesized with Xilinx Vivado. Our architecture achieves a \\SI100 \\giga\\bit/\\second data rate in a Xilinx Virtex-7 FPGA while reducing the latency by 45% and the LUT usage by 40% compared to the state-of-the-art.","PeriodicalId":164936,"journal":{"name":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3174243.3174270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
Packet parsing is a key step in SDN-aware devices. Packet parsers in SDN networks need to be both reconfigurable and fast, to support the evolving network protocols and the increasing multi-gigabit data rates. The combination of packet processing languages with FPGAs seems to be the perfect match for these requirements. In this work, we develop an open-source FPGA-based configurable architecture for arbitrary packet parsing to be used in SDN networks. We generate low latency and high-speed streaming packet parsers directly from a packet processing program. Our architecture is pipelined and entirely modeled using templated \textttC++ classes. The pipeline layout is derived from a parser graph that corresponds to a P4 code after a series of graph transformation rounds. The RTL code is generated from the \textttC++ description using Xilinx Vivado HLS and synthesized with Xilinx Vivado. Our architecture achieves a \SI100 \giga\bit/\second data rate in a Xilinx Virtex-7 FPGA while reducing the latency by 45% and the LUT usage by 40% compared to the state-of-the-art.