Plug & Offload: Transparently Offloading TCP Stack onto Off-path SmartNIC with PnO-TCP

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Hauptverfasser: Nan, Hailong, Zhou, Zhe, Yang, Min
Format: Preprint
Veröffentlicht: 2025
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author Nan, Hailong
Zhou, Zhe
Yang, Min
author_facet Nan, Hailong
Zhou, Zhe
Yang, Min
contents Host CPU resources are heavily consumed by TCP stack processing, limiting scalability in data centers. Existing offload methods typically address only partial functionality or lack flexibility. This paper introduces PnO (Plug & Offload), an approach to fully offload TCP processing transparently onto off-path SmartNICs (NVIDIA BlueField DPUs). Key to our solution is PnO-TCP, a novel TCP stack specifically designed for efficient execution on the DPU's general-purpose cores, panning both the host and the SmartNIC to facilitate the offload. PnO-TCP leverages a lightweight, user-space stack based on DPDK, achieving high performance despite the relatively modest computational power of off-path SmartNIC cores. Our evaluation, using real-world applications (Redis, Lighttpd, and HAProxy), demonstrates that PnO achieves transparent TCP stack offloading, leading to both substantial reductions in host CPU usage and, in many cases, significant performance improvements, particularly for small packet scenarios (< 2KB) where RPS gains of 34%-127% were observed in single-threaded tests. Our evaluation, using real-world applications (Redis, Lighttpd, and HAProxy), demonstrates that PnO achieves transparent TCP stack offloading, leading to both substantial reductions in host CPU usage and, in many cases, significant performance improvements, particularly for small packet scenarios (< 2KB) where RPS gains of 34%-127% were observed in single-threaded tests.
format Preprint
id arxiv_https___arxiv_org_abs_2503_22930
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Plug & Offload: Transparently Offloading TCP Stack onto Off-path SmartNIC with PnO-TCP
Nan, Hailong
Zhou, Zhe
Yang, Min
Distributed, Parallel, and Cluster Computing
Host CPU resources are heavily consumed by TCP stack processing, limiting scalability in data centers. Existing offload methods typically address only partial functionality or lack flexibility. This paper introduces PnO (Plug & Offload), an approach to fully offload TCP processing transparently onto off-path SmartNICs (NVIDIA BlueField DPUs). Key to our solution is PnO-TCP, a novel TCP stack specifically designed for efficient execution on the DPU's general-purpose cores, panning both the host and the SmartNIC to facilitate the offload. PnO-TCP leverages a lightweight, user-space stack based on DPDK, achieving high performance despite the relatively modest computational power of off-path SmartNIC cores. Our evaluation, using real-world applications (Redis, Lighttpd, and HAProxy), demonstrates that PnO achieves transparent TCP stack offloading, leading to both substantial reductions in host CPU usage and, in many cases, significant performance improvements, particularly for small packet scenarios (< 2KB) where RPS gains of 34%-127% were observed in single-threaded tests. Our evaluation, using real-world applications (Redis, Lighttpd, and HAProxy), demonstrates that PnO achieves transparent TCP stack offloading, leading to both substantial reductions in host CPU usage and, in many cases, significant performance improvements, particularly for small packet scenarios (< 2KB) where RPS gains of 34%-127% were observed in single-threaded tests.
title Plug & Offload: Transparently Offloading TCP Stack onto Off-path SmartNIC with PnO-TCP
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2503.22930