


How to compile and install ixgbe driver on Linux
Step one: Installation prerequisites
Before installation, you need to install matching kernel header files and development tool kits.
$ sudo apt-get install linux-headers-$(uname -r) $ sudo apt-get install gcc make
Step 2: Compile ixgbe driver
Download the source code from the latest ixgbe driver.
$ wget http://sourceforge.net/projects/e1000/files/ixgbe%20stable/3.23.2/ixgbe-3.23.2.tar.gz
Compile the ixgbe driver as follows.
$ tar xvfvz ixgbe-3.23.2.tar.gz $ cd ixgbe-3.23.2/src $ make
Step 3: Check the ixgbe driver
After compilation, you will see ixgbe.ko created in the ixgbe-3.23.2/src directory. This is the ixgbe driver that will be loaded into the kernel.
Use the modinfo command to check the kernel module information. Note that you need to specify the absolute path to the module file (such as ./ixgbe.ko or /home/xmodulo/ixgbe/ixgbe-3.23.2/src/ixgbe.ko). The output will show the version of the ixgbe kernel.
$ modinfo ./ixgbe.ko
filename: /home/xmodulo/ixgbe/ixgbe-3.23.2/src/ixgbe.ko version: 3.23.2 license: gpl description: intel(r) 10 gigabit pci express network driver author: intel corporation, srcversion: 2ada5e537923e983fa9dae2 alias: pci:v00008086d00001560sv*sd*bc*sc*i* alias: pci:v00008086d00001558sv*sd*bc*sc*i* alias: pci:v00008086d0000154asv*sd*bc*sc*i* alias: pci:v00008086d00001557sv*sd*bc*sc*i* alias: pci:v00008086d0000154fsv*sd*bc*sc*i* alias: pci:v00008086d0000154dsv*sd*bc*sc*i* alias: pci:v00008086d00001528sv*sd*bc*sc*i* alias: pci:v00008086d000010f8sv*sd*bc*sc*i* alias: pci:v00008086d0000151csv*sd*bc*sc*i* alias: pci:v00008086d00001529sv*sd*bc*sc*i* alias: pci:v00008086d0000152asv*sd*bc*sc*i* alias: pci:v00008086d000010f9sv*sd*bc*sc*i* alias: pci:v00008086d00001514sv*sd*bc*sc*i* alias: pci:v00008086d00001507sv*sd*bc*sc*i* alias: pci:v00008086d000010fbsv*sd*bc*sc*i* alias: pci:v00008086d00001517sv*sd*bc*sc*i* alias: pci:v00008086d000010fcsv*sd*bc*sc*i* alias: pci:v00008086d000010f7sv*sd*bc*sc*i* alias: pci:v00008086d00001508sv*sd*bc*sc*i* alias: pci:v00008086d000010dbsv*sd*bc*sc*i* alias: pci:v00008086d000010f4sv*sd*bc*sc*i* alias: pci:v00008086d000010e1sv*sd*bc*sc*i* alias: pci:v00008086d000010f1sv*sd*bc*sc*i* alias: pci:v00008086d000010ecsv*sd*bc*sc*i* alias: pci:v00008086d000010ddsv*sd*bc*sc*i* alias: pci:v00008086d0000150bsv*sd*bc*sc*i* alias: pci:v00008086d000010c8sv*sd*bc*sc*i* alias: pci:v00008086d000010c7sv*sd*bc*sc*i* alias: pci:v00008086d000010c6sv*sd*bc*sc*i* alias: pci:v00008086d000010b6sv*sd*bc*sc*i* depends: ptp,dca vermagic: 3.11.0-19-generic smp mod_unload modversions parm: interrupttype:change interrupt mode (0=legacy, 1=msi, 2=msi-x), default intmode (deprecated) (array of int) parm: intmode:change interrupt mode (0=legacy, 1=msi, 2=msi-x), default 2 (array of int) parm: mq:disable or enable multiple queues, default 1 (array of int) parm: dca:disable or enable direct cache access, 0=disabled, 1=descriptor only, 2=descriptor and data (array of int) parm: rss:number of receive-side scaling descriptor queues, default 0=number of cpus (array of int) parm: vmdq:number of virtual machine device queues: 0/1 = disable, 2-16 enable (default=8) (array of int) parm: max_vfs:number of virtual functions: 0 = disable (default), 1-63 = enable this many vfs (array of int) parm: vepa:vepa bridge mode: 0 = veb (default), 1 = vepa (array of int) parm: interruptthrottlerate:maximum interrupts per second, per vector, (0,1,956-488281), default 1 (array of int) parm: lliport:low latency interrupt tcp port (0-65535) (array of int) parm: llipush:low latency interrupt on tcp push flag (0,1) (array of int) parm: llisize:low latency interrupt on packet size (0-1500) (array of int) parm: llietype:low latency interrupt ethernet protocol type (array of int) parm: llivlanp:low latency interrupt on vlan priority threshold (array of int) parm: fdirpballoc:flow director packet buffer allocation level: 1 = 8k hash filters or 2k perfect filters 2 = 16k hash filters or 4k perfect filters 3 = 32k hash filters or 8k perfect filters (array of int) parm: atrsamplerate:software atr tx packet sample rate (array of int) parm: fcoe:disable or enable fcoe offload, default 1 (array of int) parm: lro:large receive offload (0,1), default 1 = on (array of int) parm: allow_unsupported_sfp:allow unsupported and untested sfp+ modules on 82599 based adapters, default 0 = disable (array of int)
Step 4: Test the ixgbe driver
Before testing the new module, if there is an old version of the ixgbe module in your kernel, you need to remove it first .
$ sudo rmmod ixgbe
Then use the insmod command to insert the newly compiled ixgbe module. Make sure to specify an absolute path to the module.
$ sudo insmod ./ixgbe.ko
If the above command runs successfully, no information will be displayed.
If you need, you can try adding additional parameters. For example, set the number of RSS queues to 16:
$ sudo insmod ./ixgbe.ko rss=16
Check /var/log/kern.log to see whether the ixgbe driver is successfully activated. Check the log for "intel(r) 10 gigabit pci express network driver". The version information of ixgbe should be the same as the previous modinfo display.
sep 18 14:48:52 spongebob kernel: [684717.906254] intel(r) 10 gigabit pci express network driver - version 3.22.3
Step 5: Install ixgbe driver
Once you have verified that the new ixgbe driver loads successfully, the final step is to install the driver on your system.
$ sudo make install
ixgbe.ko will be installed under /lib/modules//kernel/drivers/net/ethernet/intel/ixgbe.
From this step, you can use the following modprobe command to load the ixgbe driver. Note that you no longer have to specify the absolute path.
$ sudo modprobe ixgbe
If you want to load the ixgbe driver at startup, you can add "ixgbe" at the end of /etc/modules.
The above is the detailed content of How to compile and install ixgbe driver on Linux. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



How to use Docker Desktop? Docker Desktop is a tool for running Docker containers on local machines. The steps to use include: 1. Install Docker Desktop; 2. Start Docker Desktop; 3. Create Docker image (using Dockerfile); 4. Build Docker image (using docker build); 5. Run Docker container (using docker run).

The key differences between CentOS and Ubuntu are: origin (CentOS originates from Red Hat, for enterprises; Ubuntu originates from Debian, for individuals), package management (CentOS uses yum, focusing on stability; Ubuntu uses apt, for high update frequency), support cycle (CentOS provides 10 years of support, Ubuntu provides 5 years of LTS support), community support (CentOS focuses on stability, Ubuntu provides a wide range of tutorials and documents), uses (CentOS is biased towards servers, Ubuntu is suitable for servers and desktops), other differences include installation simplicity (CentOS is thin)

Troubleshooting steps for failed Docker image build: Check Dockerfile syntax and dependency version. Check if the build context contains the required source code and dependencies. View the build log for error details. Use the --target option to build a hierarchical phase to identify failure points. Make sure to use the latest version of Docker engine. Build the image with --t [image-name]:debug mode to debug the problem. Check disk space and make sure it is sufficient. Disable SELinux to prevent interference with the build process. Ask community platforms for help, provide Dockerfiles and build log descriptions for more specific suggestions.

Docker process viewing method: 1. Docker CLI command: docker ps; 2. Systemd CLI command: systemctl status docker; 3. Docker Compose CLI command: docker-compose ps; 4. Process Explorer (Windows); 5. /proc directory (Linux).

VS Code system requirements: Operating system: Windows 10 and above, macOS 10.12 and above, Linux distribution processor: minimum 1.6 GHz, recommended 2.0 GHz and above memory: minimum 512 MB, recommended 4 GB and above storage space: minimum 250 MB, recommended 1 GB and above other requirements: stable network connection, Xorg/Wayland (Linux)

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

The reasons for the installation of VS Code extensions may be: network instability, insufficient permissions, system compatibility issues, VS Code version is too old, antivirus software or firewall interference. By checking network connections, permissions, log files, updating VS Code, disabling security software, and restarting VS Code or computers, you can gradually troubleshoot and resolve issues.
