I have two GPU cards in SLI configuration on my system and so I've only shown the output for the first device. Once complete we can run the deviceQuery script to test if we can communicate with the GPU: cd bin/x86_64/linux/release In the following code sample below, change to your preferred installation location for the sample scripts: cuda-install-samples-6.5.sh Ĭhange directory to the /NVIDIA_CUDA-6.5_Samples and run the make command: cd /NVIDIA_CUDA-6.5_Samples In order to check that the installation was successful we are going to compile the CUDA samples, test that we can query the GPU device and ascertain its bandwidth. The output on my system is as follows nvcc: NVIDIA (R) Cuda compiler driverĬopyright (c) 2005-2014 NVIDIA CorporationĬuda compilation tools, release 6.5, V6.5.12 GCC version: gcc version 4.8.2 (Ubuntu 4.8.2-19ubuntu1)Ĭheck the version of the Nvidia CUDA compiler: nvcc -V The output on my system is as follows NVRM version: NVIDIA UNIX x86_64 Kernel Module 331.89 Tue Jul 1 13:30: The following line will provide us with the driver version: cat /proc/driver/nvidia/version Remember to make sure that the terminal has access to these variables: source ~/.bash_profileīefore proceeding to test the GPU cards we will ensure that the drivers are correctly installed. bash_profile file in our home directory, in order to obtain the required compilation tools on our PATH: export PATH=/usr/local/cuda-6.5/bin:$PATHĮxport LD_LIBRARY_PATH=/usr/local/cuda-6.5/lib64:$LD_LIBRARY_PATH We also need to add the following lines to our.
Download nvidia cuda toolkit install#
The following commands will install CUDA 6.5: sudo dpkg -i cuda-repo-ubuntu1404_6.5-14_b I placed this in my home Downloads directory: cd ~/Downloads The next step is to download the specific DEB package for the 64-bit version of CUDA for Ubuntu 14.04. I'll assume that you have a 64-bit system for the remainder of the article. This is carried out by installing the build-essential package: sudo apt-get install build-essential The first task is to make sure that you have the GNU compiler collection (GCC) tools installed. In this article I am going to describe the same procedure but carry it out under the latest version of Ubuntu, namely 14.04.
Download nvidia cuda toolkit how to#
In a previous article Valerio Restocchi showed us how to install Nvidia CUDA on a Mac OS X system. CUDA is the industry standard for working with GPU-HPC. In this article I am going to discuss how to install the Nvidia CUDA toolkit for carrying out high-performance computing (HPC) with an Nvidia Graphics Processing Unit (GPU).
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