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Faster Software Packet Processing on FPGA NICs with eBPF Program Warping

Authors: Marco Bonola; Giacomo Belocchi; Angelo Tulumello; Marco Spaziani Brunella; Giuseppe Siracusano; Giuseppe Bianchi; Roberto Bifulco;

Faster Software Packet Processing on FPGA NICs with eBPF Program Warping

Abstract

FPGA NICs can improve packet processing performance, however, programming them is difficult, and existing solutions to enable software packet processing on FPGA either provide limited packet processing speed, or require changes to programs and to their development/deployment life cycle. We address the issue with program warping, a new technique that improves throughput replacing several instructions of a packet processing program with an equivalent runtime programmable hardware implementation. Program warping performs static analysis of a packet processing program, described with Linux’s eBPF, to identify subsets of the program that can be implemented by an optimized FPGA pipeline, the warp engine. Packets handled by the warp engine are eventually delivered to a regular eBPF program executor, along with their program context (registers, stack), to complete execution of those program parts that cannot be efficiently pipelined. We prototype program warping on a 100Gbps FPGA NIC, extending hXDP, a state-of-the-art eBPF processor for FPGA, and measure its performance running 6 unmodified real-world eBPF programs, including deployed applications such as Katran and Suricata. Our prototype runs at 250MHz, uses less than 15% of the FPGA resources, and improves hXDP throughput by 1.2-3x in most cases, and up to 18x.

Country
Italy
Keywords

NICs, Packet processing performance, Suricata, Software Packet Processing, FPGA NICs, Katran, Program warping, Linux's eBPF, FPGA

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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