Kommunikationsnetze / Multimedia Kommunikation
Host Bypassing: Let your GPU speak Ethernet | |
Key: | KAM+22 |
Author: | Ralf Kundel, Leonard Anderweit, Jonas Markussen, Carsten Griwodz, Osama Abboud, Benjamin Becker, Tobias Meuser |
Date: | June 2022 |
Kind: | In proceedings |
Publisher: | IEEE |
Book title: | Proceedings of the IEEE Conference on Network Softwarization (NetSoft) |
Keywords: | PCIe, GPU, NFV, Offloading, Bypassing, DPDK |
Abstract: | Hardware acceleration of network functions is essential to meet the challenging Quality of Service requirements in nowadays computer networks. Graphical Processing Units (GPU) are a widely deployed technology that can also be used for computing tasks, including acceleration of network functions. In this work, we demonstrate how commodity GPUs, which do not provide any network interfaces, can be used to accelerate network functions. Our approach leverages PCIe peer-to-peer capabilities and allows the GPU to control the network interface card directly, without any assistance from the operating system or control application. The presented evaluation results demonstrate the feasibility of our approach and its performance of up to 10 Gbit/s, even for small packets. |
View Full paper (PDF) | Download Full paper (PDF) |
The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, not withstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.