Complete Guide: Installing CUDA 11.2 on Ubuntu 18.04

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Complete Guide: Installing CUDA 11.2 on Ubuntu 18.04

Table of Contents:

  1. Introduction
  2. Finding if CUDA is available
  3. Installing CUDA in Linux Ubuntu 18.4
    3.1 Confirming the machine architecture
    3.2 Downloading CUDA
    3.3 Running installation commands
    3.4 Addressing unmet dependencies issue
    3.5 Changing the installation process
  4. Adding CUDA to the PATH variable
  5. Creating the profile file
  6. Giving permissions to the profile file
  7. Creating the ld.so.conf file
  8. Updating ld configuration
  9. testing the CUDA installation
  10. Conclusion

🎯 Installing CUDA in Linux Ubuntu 18.4 Welcome everyone! In this video, I'll show you how to install CUDA in Linux Ubuntu 18.4. Before we begin, I kindly request you to subscribe to my channel and like this video if you find it helpful. Let's dive in!

1. Introduction CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface model created by Nvidia. It allows developers to use Nvidia GPUs (Graphics Processing Units) for general-purpose computing. In this article, we will learn how to install CUDA in Linux Ubuntu 18.4.

2. Finding if CUDA is available To check if CUDA is available on your Linux machine, open the terminal and execute the command nvidia-smi. If CUDA is Present, you will see the CUDA compiler version. If not, let's move on to the installation process.

3. Installing CUDA in Linux Ubuntu 18.4 Before installing CUDA, we need to confirm the machine architecture. In the terminal, execute the command uname -m to check if your machine is 64-bit. If it returns x86_64, it is a 64-bit machine.

3.1 Confirming the machine architecture It's essential to confirm the machine architecture before proceeding with the installation. Open the terminal and execute the command uname -m. If the output is x86_64, it means that you have a 64-bit machine.

3.2 Downloading CUDA To download CUDA, visit the official Nvidia developer website (developer.nvidia.com) and navigate to the CUDA Downloads section. From there, choose the appropriate CUDA version for Linux Ubuntu 18.4.

3.3 Running installation commands Once the CUDA installation package is downloaded, open the terminal and navigate to the directory where the package is saved. Run the installation commands as provided by Nvidia to initiate the installation process.

3.4 Addressing unmet dependencies issue If you encounter the error message "Unable to correct the problem, unmet dependencies," you can resolve it by changing the installation process. Instead of using the local Debian package, use the "runfile (local)" option to download the file.

3.5 Changing the installation process Download the CUDA installation file using the "runfile (local)" option. Open the terminal and navigate to the directory where the file is downloaded. Run the provided command to start the installation process.

4. Adding CUDA to the PATH variable To ensure that CUDA is accessible throughout the system, we need to add it to the PATH variable. Create a new file named /etc/profile.d/cuda.sh. Add the following lines to the file:

export PATH=/usr/local/cuda-11.2/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64:$LD_LIBRARY_PATH

5. Creating the profile file In the terminal, run the command sudo nano /etc/profile.d/cuda.sh to create a new file for the CUDA profile. Enter the following lines into the file:

export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

6. Giving permissions to the profile file To enable the profile file, run the command sudo chmod +x /etc/profile.d/cuda.sh to give executable permissions.

7. Creating the ld.so.conf file Create another file named /etc/ld.so.conf.d/cuda.conf to configure the CUDA libraries. Add the following line to the file:

/usr/local/cuda-11.2/lib64

8. Updating ld configuration Run the command sudo ldconfig to update the ld configuration.

9. Testing the CUDA installation To check if CUDA is installed correctly, restart your machine, log out, and log back in. In the terminal, run the command nvcc --version. You should see the CUDA compiler version if the installation was successful.

10. Conclusion Congratulations! You have successfully installed CUDA in Linux Ubuntu 18.4. Now you can utilize the power of Nvidia GPUs for parallel computing. Feel free to explore and develop GPU-accelerated applications. Should you encounter any issues, please refer to the official Nvidia documentation or seek assistance from the Nvidia community. Happy coding!

Highlights:

  • CUDA (Compute Unified Device Architecture) is a Parallel computing platform and API model developed by Nvidia.
  • Installing CUDA in Linux Ubuntu 18.4 allows developers to utilize Nvidia GPUs for general-purpose computing.
  • Confirm the machine architecture (64-bit) before proceeding with the installation.
  • Download the CUDA installation Package from the official Nvidia developer website.
  • Follow the provided installation commands to install CUDA on Linux Ubuntu 18.4.
  • If encountering unmet dependencies issue, switch to the "runfile (local)" installation option.
  • Update the PATH variable and ld configuration to make CUDA accessible system-wide.
  • Restart your machine and check the CUDA version using the nvcc command.

FAQ: Q: Can I install CUDA on any Linux machine? A: CUDA is specifically designed to work with Nvidia GPUs. Ensure that your Linux machine has a compatible Nvidia GPU before attempting to install CUDA.

Q: How can I verify if CUDA is installed correctly? A: After installation, you can use the nvcc --version command in the terminal to check the CUDA compiler version. If it displays the version number, CUDA is installed correctly.

Q: Are there any additional packages required for CUDA installation? A: CUDA installation may require some additional packages and dependencies. Follow the official Nvidia documentation or installation instructions for Linux Ubuntu 18.4 to ensure all prerequisites are met.

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