enable cuda

The installation process is a bit tortuous, but finally can be successfully installed, because did not look at the official installation documents, resulting in a lot of time to install, I hope this article can let the students want to pack cuda little detour1.NVIDIA driver whether to installJust started to install Cuda, thought to install the video card driver, search how to install the driver, causing the

What? You learn the Cuda series (a), (b) It's all over. Still don't know why to use GPU to speed up? Oh, yes.. Feedback on Weibo I silently feel that the small number of partners to raise such a problem, but more small partners should be seen (a) feel away from their own too far so hurriedly remove powder ran away ... I didn't write Cuda series study (0) ... Well, this chapter on this piece, through a bunch

1. precautions to compile the method see: http://blog.csdn.net/wangyaninglm/article/details/39997113 The following is the program code, online search examples: Note: 32-bit projects add 64-bit support (mainly depending on the version you compiled), and the project path of the CUDA is configured to include 2. Code //SWAP.CU # Include "Cuda_runtime.h" #include "device_launch_parameters.h" #include Swap.cpp #include Main.cpp #include 3. Ac

From this part began to combine the bug's demo program to analyze the Cuda performance and feasibility. One. The implementation process is outlined first. Cuda is executed by letting one of the host's kernel perform on the graphics hardware (GPU) according to the concept of thread grid (GRID). Each thread grid can also contain multiple line Cheng (block), each of which can contain multiple threads (thread

Reprinted from http://soft.zdnet.com.cn/software_zone/2009/1127/1527418.shtml 1. software requirements: Cudadriver_2.3_winvista_64_190.38_general Cudatoolkit_2.3_win_64 Cudasdk_2.3_win_64 Vs2008 Uninstall the previously installed SDK, toolkit, and driver before installing the software. If the development platform does not support Cuda graphics, you do not need to install cudadriver_2.3_winvista_64_190.38_general. 　　2. Installation check Run nvcc-V in

After reading Cuda for a week on and off, I caught a cold (the charm of Cuda is really great = !), Let's take a review and take notes. CPU code: data preparation and device initialization before the kernel starts, as well as some serial operations between the kernel. Ideally, the CPU serial code only serves to clear the previous kernel function and start the next kernel function.

1.CUDA Toolkit and SDK CUDA Toolkit version 1.1 for Win XP CUDA SDK version 1.1 for Win XP Ps: NVIDIA Driver for Microsoft Windows XP with CUDA Support (169.21) at the time of development, this can not be installed, if there is support for the CUDA video card, the installati

Original article link Section 10: cudpp, a powerful data parallel Cuda LibraryRob Farber is a senior researcher at the National Laboratory of the Pacific Northwest. He studied large-scale parallel operations in multiple national laboratories and was a partner of several new startups. You can send an email to [email protected] to communicate with him. In section 9th of a series of articles on Cuda (compute u

The Cuda 4.0 version is very different from the previous Cuda 2.3 version. At least, the Cubin format is changed to the ELF File and is no longer the decuda input file. I tested my graphics card with a GPU-Z, gt218 supports opencl, Cuda, directcompute4.1. All right, everything is installed, including vs2008. Below is a simple

Installation Process of CUDA (including GPU driver) in Ubuntu OS: Ubuntu 12.04 (amd64) Basic tool set Aptitude install binutils ia32-libs gcc make automake autoconf libtool g ++-4.6 gawk gfortran freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev-y If it is a server system without a graphical interface, the lightdm GUI manager step is not stopped... This stuff shouldn't be available on the serve

Original link1. OverviewThe data in the texture memory is stored in memory in the form of one-, two-, or three-dimensional arrays, which can be accessed through the cache and can be declared larger than the constant memory.The operation to access the texture memory in kernel is called texture pickup (texture fetching). The operation of associating data in memory with a texture reference frame is called binding the data to the texture (texture binding).There are two types of data that can be boun

Today, I thought about the Cuda zero-memory copy problem. I felt that it would be useful in the program to be designed, so I checked the relevant information. The following are some helpful links: Zero copy usage in Cuda -- for two-dimensional pointers Zero-copy usage in Cuda -- for one-dimensional pointers Cuda zero

Cuda-convnet is a set of CNN code published by Alex Krizhevsky , running on a Linux system, using the GPU to perform operations, providing only a demo of the CIFAR data set in Cuda-convnet. And the website does not explain how the Cuda-convnet code is used in other databases, so Bo Master I try to modify the source, for the mnist data set, to do a handwritten num

Tags: code stat leave Tor dia pool ack drivers what to doBy TensorFlow 1.8, Ubuntu 16.04, Cuda 9.0, nvidia-390 tortured for 5 days, finally on the pit, leaving a guide for the benefit of posterity.1. Find out the dependencies first:TensorFlow 1.8 relies on Cuda 9.0,cuda 9.0 dependent nvidia-390.2. Pit:Only nvidia-384,nvidia-390 newness is not supported in Ubuntu

Latest version of Cuda development Pack download: Click to open link This article is based on vs2012,pc win7 x64,opencv2.4.9 compiling OPENCV source code Refer to "How to Build OpenCV 2.2 with GPU" on Windows 7, which is a bit cumbersome, you can see the following 1, installation Cuda Toolkit, official instructions: Click to open the link Installation process is like ordinary software, the last hint that s

Find Visual Studio >> Visual Studio Tools in the Start menuChoose the 86 or 64 version of the VC command prompt environment that I useVS2013 x86 Native Tools Command PromptThis should configure the path of the VC compiler, and the path of the NVCC (cuda C compiler) in the environment variable.And then enterNVCC Cudafilename.cu-o OutfilenameThis format, such asNVCC Hello.cu-o HelloThe Hello.cu file is compiled, and the Hello.exe file is generatedBy the

vs2015+cuda8.0 Environment Configuration Anyway, record the correct configuration here: 1, first, the officer network download corresponding vs version of Cuda Toolkit: Https://developer.nvidia.com/cuda-toolkit-50-archive (Remember vs2010 corresponds to cuda5.0,vs2013 corresponds to cuda7.5,vs2015 corresponding to CUDA8.0) 2, then, the direct installation, remember in the installation process if you do not

Reprinted from: http://blog.sina.com.cn/s/blog_a43b3cf2010157ph.html There are several ways to write parallel programs that utilize GPU acceleration, which are summed up in three ways: 1. Take advantage of the existing GPU function library. Nvidia's Cuda Toolbox improves free GPU-accelerated fast Fourier transform (FFT), Basic linear algebra subroutines (BLAST), image and video processing library (NPP). The user can get performance acceleration by rep

Yesterday hand cheap, put cuda and OPENCV environment variable changed, restart login interface input password prompts error, password must be correct, is not into, is very silent. Various solutions have been tried on the web, such as deleting/tmp and./xauthor in command line mode, or changing the environment variables previously changed, and so on. Finally reinstall the CUDA again, reboot incredibly good.

CUDA Driver API Usage notes1. IntroductionThe Cuda Driver API is implemented in the Cuda Dynamic Library (libcuda.so). If you are developing in an eclipse environment, you need to add the path to the libcuda.so file and reference the Cuda.h file in your program.2. Environment configuration2.1 Source ProgramFor the use of the driver API simply include the correspo