1. Install NVIDIA CUDA Toolkit#
The following instruction describes installing CUDA for Ubuntu, CentOS, and Red Hat (RHEL). You may refer to CUDA installation guide from NVIDIA developer documentation for other operating systems and platforms.
Attention
NVIDIA does not support macOS. You can install the NVIDIA CUDA Toolkit on Linux and Windows only.
1.1. Install CUDA Runtime Libraries#
To download and install the CUDA Toolkit on both Linux and Windows, refer to the NVIDIA Developer website. It’s important to note that NVIDIA’s installation instructions on their website include the entire CUDA Toolkit, which is typically quite large (over 6 GB in size).
However, for running imate, you don’t need to install the entire CUDA Toolkit. Instead, only a few of the CUDA runtime libraries, are required. Below are simplified installation instructions for Linux, allowing you to perform a minimal CUDA installation with only the necessary libraries.
1.1.1. Add CUDA Repository#
Before installing CUDA libraries, add CUDA repository to your package manager:
# Machine architecture
ARCH=$(uname -m | grep -q -e 'x86_64' && echo 'x86_64' || echo 'sbsa')
# OS Version
UBUNTU_VERSION=$(awk -F= '/^VERSION_ID/{gsub(/"/, "", $2); print $2}' /etc/os-release)
OS_VERSION=$(dpkg --compare-versions "$UBUNTU_VERSION" "ge" "22.04" && echo "2204" || echo "2004")
# Add CUDA Repository
sudo apt update
sudo apt install wget -y
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${OS_VERSION}/${ARCH}/cuda-keyring_1.1-1_all.deb -P /tmp
sudo dpkg -i /tmp/cuda-keyring_1.1-1_all.deb
rm /tmp/cuda-keyring_1.1-1_all.deb
# Machine architecture
ARCH=$(uname -m | grep -q -e 'x86_64' && echo 'x86_64' || echo 'sbsa')
# OS Version
OS_VERSION=$(awk -F= '/^VERSION_ID/{gsub(/"/, "", $2); print $2}' /etc/os-release)
# Add CUDA Repository
sudo yum install -y yum-utils
sudo yum-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel${OS_VERSION}/${ARCH}/cuda-rhel${OS_VERSION}.repo
# Machine architecture
ARCH=$(uname -m | grep -q -e 'x86_64' && echo 'x86_64' || echo 'sbsa')
# OS Version
OS_VERSION=$(awk -F= '/^VERSION_ID/{gsub(/"/, "", $2); print $2}' /etc/os-release)
# Add CUDA Repository
sudo dnf install -y dnf-utils
sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel${OS_VERSION}/${ARCH}/cuda-rhel${OS_VERSION}.repo
1.1.2. Install Minimal CUDA Libraries#
In the following, you may change CUDA_VERSION
to the CUDA version that you wish to install.
# Set to the desired cuda version
CUDA_VERSION="12-3"
# Install required CUDA libraries
sudo apt-get update
sudo apt install -y \
cuda-cudart-${CUDA_VERSION} \
libcublas-${CUDA_VERSION} \
libcusparse-${CUDA_VERSION}
# Choose a desired cuda version
CUDA_VERSION="12-3"
# Install required CUDA libraries
sudo yum install --setopt=obsoletes=0 -y \
cuda-cudart-${CUDA_VERSION} \
libcublas-${CUDA_VERSION} \
libcusparse-${CUDA_VERSION}
# Choose a desired cuda version
CUDA_VERSION="12-3"
# Install required CUDA libraries
sudo dnf install --setopt=obsoletes=0 -y \
cuda-nvcc-${CUDA_VERSION} \
libcublas-${CUDA_VERSION} \
libcusparse-${CUDA_VERSION}
Export LD_LIBRARY_PATH
environment variable with the CUDA library location by
echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64${PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc
source ~/.bashrc
1.2. Install NVIDIA Graphic Driver#
First, make sure you have added CUDA repository. Then, install NVIDIA graphic driver with
export DEBIAN_FRONTEND=noninteractive
sudo -E apt install cuda-drivers -y
sudo yum -y install nvidia-driver-latest-dkms
sudo dnf -y module install nvidia-driver:latest-dkms
The above step might need a reboot afterwards to properly load NVIDIA graphic driver. Confirm the driver installation by
nvidia-smi
1.3. Install OpenMP#
In addition to CUDA Toolkit, make sure the OpenMP library is also installed using
sudo apt install libgomp1 -y
sudo yum install libgomp -y
sudo dnf install libgomp -y