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ASPLOS2022顶会

FlexDriver: a network driver for your accelerator

Haggai Eran, Maxim Fudim, Gabi Malka, Gal Shalom, Noam Cohen, Amit Hermony, Dotan Levi, Liran Liss, Mark Silberstein

2022年份
14被引次数
7顶会引用

摘要

We propose a new system design for connecting hardware and FPGA accelerators to the network, allowing the accelerator to directly control commodity Network Interface Cards (NICs) without using the CPU. This enables us to solve the key challenge of leveraging existing NIC hardware offloads such as virtualization, tunneling, and RDMA for accelerator networking. Our approach supports a diverse set of use cases, from direct network access for disaggregated accelerators to inline-acceleration of the network stack, all without the complex networking logic in the accelerator.

To demonstrate the feasibility of this approach, we build Flex-Driver (FLD), an on-accelerator hardware module that implements a NIC data-plane driver. Our main technical contribution is a mechanism that compresses the NIC control structures by two orders of magnitude, allowing FLD to achieve high networking scalability with low die area cost and no bandwidth interference with the accelerator logic.

The prototype for NVIDIA Innova-2 FPGA SmartNICs showcases our design's utility for three different accelerators: a disaggregated LTE cipher, an IP-defragmentation inline accelerator, and an IoT cryptographic-token authentication offload. These accelerators reach 25 Gbps line rate and leverage the NIC for RDMA processing, VXLAN tunneling, and traffic shaping without CPU involvement.

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