Is not an NVIDIA GPU, the NVIDIA openGL libraries should not be installed. If installing the driver, the installer will also ask if the openGL libraries should be installed. While running the installer with sudo will have root ownership. Running the installer with sudo, as shown above, will give permission to install to directories that require root permissions. creating the /usr/local/cuda symbolic link.installing the CUDA Samples to a location the user does not have permission to write to. installing the CUDA Toolkit to a location the user does not have permission to write to.Actions thatĬause the installer to attempt to install with root privileges are: To perform an action, the installer will ask for the user's password to attempt to install with root privileges. When the current privileges are insufficient The installer must be executed with sufficient privileges to perform some actions. Side-by-side installations are supported.įor instance, to install both the X.Y CUDA Toolkit and the X.Y+1 CUDA Toolkit, install the cuda-X.Y and cuda-X.Y+1 packages. To avoid any automatic upgrade, and lock down the toolkit installation to the X.Y release, install the cuda-X-Y or cuda-cross-X-Y package. Some desktop environments, such as GNOME or KDE, will display an notification alert when new packages are available. $ sudo apt-get install cuda-drivers # Ubuntu Nvidia-gfxG04-kmp-default # OpenSUSE & SLES When a new version is available, use the following commands to upgrade the driver: The cuda-drivers package points to the latest driver release available in the CUDA repository. The cuda-cross- packages can also be upgraded in the same manner. $ sudo zypper install cuda # OpenSUSE & SLES When a new version is available, use the following commands to upgrade the toolkit and driver: The cuda package points to the latest stable release of the CUDA Toolkit. $ cat /var/lib/apt/lists/*cuda*Packages | grep "Package:" # Ubuntu $ zypper packages -r cuda # OpenSUSE & SLES $ dnf -disablerepo="*" -enablerepo="cuda*" list available # Fedora $ yum -disablerepo="*" -enablerepo="cuda*" list available # RedHat The list of available packages be can obtained with: The packages installed by the packages above can also be installed individually by specifying their names explicitly. The cuda-cross- packages do not install the native display driver. The librariesįiles of the target architecture's display driver package are also installed to enable the cross compilation of driver applications. Packages install all the packages required for cross-platform development to ARMv7, ARMv8, and POWER8, respectively. On supported platforms, the cuda-cross-armhf, cuda-cross-aarch64, and cuda-cross-ppc64el It also includes the NVIDIA driver package. That includes the compiler, the debugger, the profiler, the math libraries.įor x86_64 patforms, this also include NSight Eclipse Edition and the visual profiler The cuda package installs all the available packages for native developments. This package will install the full set of other CUDA packages required for native development and should cover most scenarios. The recommended installation package is the cuda package. This guide will show you how to install and check the correct operation of the CUDA development tools. The on-chip shared memory allows parallel tasks running on theseĬores to share data without sending it over the system memory bus. Resources including a register file and a shared memory. This configuration also allows simultaneousĬomputation on the CPU and GPU without contention for memory resources.ĬUDA-capable GPUs have hundreds of cores that can collectively run thousands of computing threads. The CPU and GPU are treated as separate devices that have their own memory spaces. As such, CUDA can be incrementally applied to existing applications. The CPU, and parallel portions are offloaded to the GPU. Serial portions of applications are run on
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