Enabling Programmable Data Planes with C++ and High-Level Synthesis for Custom Packet Forwarding

This paper proposes a novel approach to realize programmable data plane descriptions into wire-speed performance hardware. We achieve this objective by combining a custom C++ model for describing packet forwarding devices with generic vendor-agnostic high-level synthesis tools. We compare three packet-forwarding devices with the P4-NetFPGA/NetFPGA-SUME canonical design, considering throughput, latency, and resource usage. Our findings demonstrate the viability of describing packet-forwarding devices within the suggested workflow while providing improved throughput, latency, and resource usage. Results can help designers reach fast time-to-markets with more efficient hardware and pave the way for better PDPs.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/sbcci62366.2024.10704008
Citations
1
Primary Topic
Network Packet Processing and Optimization
Type
article
Field-Weighted Citation Impact
0.49
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article

Enabling Programmable Data Planes with C++ and High-Level Synthesis for Custom Packet Forwarding

Mateus Saquetti, Weverton Cordeiro, José Rodrigo Azambuja, Pablo Rodrigues et al.
1 citations
Network Packet Processing and Optimization
0.49
article

Enabling Programmable Data Planes with C++ and High-Level Synthesis for Custom Packet Forwarding

Mateus Saquetti, Weverton Cordeiro, José Rodrigo Azambuja, Pablo Rodrigues, Nathan Guimarães
article en
1 citations

Abstract

This paper proposes a novel approach to realize programmable data plane descriptions into wire-speed performance hardware. We achieve this objective by combining a custom C++ model for describing packet forwarding devices with generic vendor-agnostic high-level synthesis tools. We compare three packet-forwarding devices with the P4-NetFPGA/NetFPGA-SUME canonical design, considering throughput, latency, and resource usage. Our findings demonstrate the viability of describing packet-forwarding devices within the suggested workflow while providing improved throughput, latency, and resource usage. Results can help designers reach fast time-to-markets with more efficient hardware and pave the way for better PDPs.

Universidade Federal do Rio Grande do Sul (BR)
Openalex Percentile: Top 37%
Network Packet Processing and Optimization
0.49
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