#Install cuda toolkit ubuntu 14.04 how to#
#Install cuda toolkit ubuntu 14.04 install#
#Install cuda toolkit ubuntu 14.04 drivers#
#Install cuda toolkit ubuntu 14.04 driver#
#Install cuda toolkit ubuntu 14.04 code#

#Install cuda toolkit ubuntu 14.04 code#

That concludes the installation and testing of the Nvidia CUDA toolkit! You should now be able to follow Valerio's second tutorial on creating a 'Hello World!' for CUDA.Click here to download the source code to this post It states that the test was successful as we received a 'PASS'. The output on my system is as follows: - Starting.ДЄs before, the final line is the most important. We also want to check the bandwidth to our GPU.

#Install cuda toolkit ubuntu 14.04 driver#

> Peer access from GeForce GTX 780 Ti (GPU1) -> GeForce GTX 780 Ti (GPU0) : YesДeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.5, CUDA Runtime Version = 6.5, NumDevs = 2, Device0 = GeForce GTX 780 Ti, Device1 = GeForce GTX 780 Ti > Peer access from GeForce GTX 780 Ti (GPU0) -> GeForce GTX 780 Ti (GPU1) : Yes Support host page-locked memory mapping: YesДevice supports Unified Addressing (UVA): YesДevice PCI Bus ID / PCI location ID: 1 / 0 Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)Д¬oncurrent copy and kernel execution: Yes with 1 copy engine(s) Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Maximum number of threads per block: 1024 Maximum number of threads per multiprocessor: 2048 Total number of registers available per block: 65536 Total amount of shared memory per block: 49152 bytes Total amount of constant memory: 65536 bytes Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers (15) Multiprocessors, (192) CUDA Cores/MP: 2880 CUDA Cores Total amount of global memory: 3072 MBytes (3220897792 bytes) deviceQuery Starting.Д¬UDA Device Query (Runtime API) version (CUDART static linking)Д¬UDA Driver Version / Runtime Version 6.5 / 6.5Д¬UDA Capability Major/Minor version number: 3.5 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 Д¬hange 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.

GCC version: gcc version 4.8.2 (Ubuntu 4.8.2-19ubuntu1)Д¬heck 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

#Install cuda toolkit ubuntu 14.04 drivers#

Remember to make sure that the terminal has access to these variables: source ~/.bash_profileД«efore 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:$PATHД®xport LD_LIBRARY_PATH=/usr/local/cuda-6.5/lib64:$LD_LIBRARY_PATH We also need to add the following lines to our.

#Install cuda toolkit ubuntu 14.04 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.

#Install cuda toolkit ubuntu 14.04 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).