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Configurable FPGA Packet Parser for Terabit Networks with Guaranteed Wire-Speed Throughput

Published: 15 February 2018 Publication History

Abstract

As throughput of computer networks is on a constant rise, there is a need for ever-faster packet parsing modules at all points of the networking infrastructure. Parsing is a crucial operation which has an influence on the final throughput of a network device. Moreover, this operation must precede any kind of further traffic processing like filtering/classification, deep packet inspection, and so on. This paper presents a parser architecture which is capable to currently scale up to a terabit throughput in a single FPGA, while the overall processing speed is sustained even on the shortest frame lengths and for an arbitrary number of supported protocols. The architecture of our parser can be also automatically generated from a high-level description of a protocol stack in the P4 language which makes the rapid deployment of new protocols considerably easier. The results presented in the paper confirm that our automatically generated parsers are capable of reaching an effective throughput of over 1 Tbps (or more than 2000 Mpps) on the Xilinx UltraScale+ FPGAs and around 800 Gbps (or more than 1200 Mpps) on their previous generation Virtex-7 FPGAs.

References

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M. Attig and G. Brebner. 2011. 400 Gb/s Programmable Packet Parsing on a Single FPGA. In Architectures for Networking and Communications Systems (ANCS), 2011 Seventh ACM/IEEE Symposium on. 12--23.
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P. Benáček, V. Puš, and H. Kubátová. 2016. P4-to-VHDL: Automatic Generation of 100 Gbps Packet Parsers. In 2016 IEEE 24th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). 148--155.
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L. Kekely, J. Kořenek, and V. Puš. 2012. Low-latency Modular Packet Header Parser for FPGA. In Proceedings of the Eighth ACM/IEEE Symposium on Architectures for Networking and Communications Systems. ACM, New York, NY, USA, 77--78.
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L. Kekely, V. Puš, and J. Kořenek. 2014. Design Methodology of Configurable High Performance Packet Parser for FPGA. In 17th IEEE Symposium on Design and Diagnostics of Electronic Circuits&Systems. IEEE Computer Society, 189--194.
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P. Kobierský, J. Kořenek, and L. Polčák. 2009. Packet header analysis and field extraction for multigigabit networks. In Proceedings of the 2009 12th International Symposium on Design and Diagnostics of Electronic Circuits&Systems (DDECS). IEEE Computer Society, Washington, USA, 96--101.
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C. Kozanitis, J. Huber, S. Singh, and G. Varghese. 2010. Leaping Multiple Headers in a Single Bound: Wire-Speed Parsing Using the Kangaroo System. In Proceedings of the 29th Conference on Information Communications.
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P. Bosshart et al. 2014. P4: Programming Protocol-independent Packet Processors. SIGCOMM Computer Communication Review 44, 3 (July 2014), 87--95.
[8]
The P4 Language Consortium. 2017. The P4 Language Specification. (24 May 2017). https://p4lang.github.io/p4-spec/p4--14/v1.0.4/tex/p4.pdf
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cover image ACM Conferences
FPGA '18: Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
February 2018
310 pages
ISBN:9781450356145
DOI:10.1145/3174243
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 15 February 2018

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Author Tags

  1. ethernet
  2. high-speed networks
  3. hls
  4. p4
  5. packet parser
  6. vhdl

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  • Research-article

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  • IT4I
  • MEYS of the Czech Republic
  • CESNET E-Infrastructure
  • Technology Agency of Czech Republic

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FPGA '18
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FPGA '18 Paper Acceptance Rate 10 of 116 submissions, 9%;
Overall Acceptance Rate 125 of 627 submissions, 20%

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