YUM vs. APT: Understanding Package Managers on Linux and Finding the CUDA Version

Linux package management: Comparison of YUM and APT, and CUDA version query

In Linux systems, YUM and APT are two popular package managers. YUM (Yellowdog Updater Modified) is mainly used in Red Hat series distributions such as CentOS and RHEL; APT (Advanced Packaging Tool) is widely used in Debian, Ubuntu and its derivative versions. Understanding the difference between the two will help efficiently manage software installation and updates of Linux systems. Additionally, if you are using an NVIDIA GPU, this article will also explain how to determine the version of CUDA installed on your Linux system.

YUM and APT: A powerful tool for Linux package management

YUM and APT are both tools for simplifying the installation, upgrade and configuration of Linux system software packages. Despite similar functions, there are some significant differences between the two:

characteristic	APT	YUM
Supported installation package formats	.deb (Debian, Ubuntu, etc.)	.rpm (CentOS, RHEL, Fedora, etc.)
Commonly used commands	update, upgrade, install, remove, purge, list, search	install, remove, search, info, update
Configuration File	/etc/apt/apt.conf (tree structure)	/etc/yum.conf (composed of two parts)
Version rollback	support	support
GUI front-end support	Nala, Synaptic	Yumex, PackageKit

Determine the CUDA version installed on Linux system

If you are using an NVIDIA GPU, you can determine the installed CUDA version by:

• Get the maximum supported version of CUDA: Run the nvidia-smi command in the terminal. The output will display the installed NVIDIA driver version and the maximum CUDA version supported by that driver.

• Get the installed CUDA version: Run the nvcc --version command in the terminal. The output will display the version number of the CUDA installed.

Summarize

YUM and APT are software package managers that are widely used in Linux systems, each with their own characteristics. Understanding their differences will help you choose the right package manager for your Linux distribution. In addition, it is crucial to know the version of CUDA installed on the Linux system when performing parallel computing. Using the commands provided in this article, you can easily get the NVIDIA driver version and the installed CUDA version.

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