Ethernet KVS by Axonerve

This apps is Japan technology.

Application Summary

Key Value Store (KVS) is a valid technique in systems such as telecommunications directories, IP transfer tables, and deduplication storage systems. In this time, we present an example of Accelerated KVS system by Alveo U50 with a lookup engine called ”Axonerve”.

Vendor Modified Size Container Version
Axonerve by Nagase November 16, 2020 - kvsimage_u50_v1.0

Deployment Options

This application is containerized and can be easily run in a few minutes in the cloud, or on-premises.

On Premises
Alveo U50
  • Xilinx Runtime: 2020.1
  • Target Platform: Xilinx_u50_xdma_201920_3

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Alveo U50


Server & Client Machine Preparation

This application is a client-server model. Prepare two different PCs, one for the server machine where the U50 is installed and KVS application runs, and one for the client machine from where you can try accessing to the server using KVS utility scripts. Connect the U50 of the server to the client via 100Gb Ethernet cable. You may need additional hardware parts to use 100Gb Ethernet such as 100GbE transceivers, a 100GbE NIC for the client PC and so on.


Server Setup

The Xilinx Runtime (XRT) host application is supported on Ubuntu 16.04/18.04 and CentOS 7.x. With sudo access, use the following command to download and run the setup script for the server machine.

2.1 Clone GitHub Repository for Xilinx Base Runtime

    git clone && cd Xilinx_Base_Runtime

2.2 Clone GitHub Repository for Xilinx Base Runtime

    ./ –v 2020.1


  • Please wait for the installation to complete.  During this time you may need press [Y] to continue the host setup.
  • If you choose to flash the FPGA, you will need to cold reboot the local machine after the installation is completed to load the new image on the FPGA.
  • The script for host setup can be used to setup other versions XRT and shell. Please check for more details.

Install Docker (If not installed yet)

With sudo access, use the following command to run the utility script to install docker.

2.3 Go to Xilinx_Base_Runtime utilities directory

    cd Xilinx_Base_Runtime/utilities

2.4 Run the Docker installation script



Server Application Execution

Enter the following commands in a terminal window on the server machine to run the server application:


3.1 Setup Environment Variables by script from Xilinx_Base_Runtime

    source Xilinx_Base_Runtime/utilities/

3.2 Pull the Sever Docker Image

    docker pull hubxilinx/axonerve_kvs_alveo_u50

3.3 Run the Server Docker Image

Enter the following command in the terminal window to run the docker image in interactive mode. The container automatically starts the session to activate the KVS server application on the FPGA board. When you want to stop the session, press any key according to the message from the container.

    docker run –it -v local_path_to_cred.json:/cred.json $XILINX_DOCKER_DEVICES hubxilinx/axonerve_kvs_alveo_u50:latest

Description of command arguments:

  • -v local_path_to_cred.json:/cred.json - Map local cred.json dir : container dir
  • $XILINX_DOCKER_DEVICES – Variables set by the server setup script


Client Application Execution

Once the server application starts on the server machine, the KVS server is ready to respond to queries from the client machine. Enter the following commands in a terminal window on the client machine to use the KVS utility scripts.

4.1 Install Docker (If not installed yet)

Install Docker in the client machine, referring to the server setup above..

4.2 Pull the Client Docker Image

    docker pull hubxilinx/axonerve_kvs_client_software

4.3 Run the Client Docker Image

    docker run -it --net=host hubxilinx/axonerve_kvs_client_software:latest

4.4 Run the KVS utility scripts

Python3-based utility scripts and a set of performance checker application sources are available in /software directory.

KVS utility scripts

Python users can use as a library. Please see,, and to know how to use it.

For example, try running the following command on the client docker container:

    cd /software; python3 NIC_device_name


Description of command arguments:

  • NIC_device_name – 100GbE NIC name. e.g. enp1s0f0

Performance checker

Axonerve in this reference can handle queries up to 200M queries/sec, theoretically. Due to 100GbE limits, the maximum performance is about 190M queries/sec. To measure the performance, refer to the C program perf_check.c.

    cd /software; make; ./perf_check