First of all, my computer is Win7 64-bit operating system, installed is 32 for the Vs2008, to compile the OpenCv2.4.3 and TBB4.2;
The process of compiling is a lot of people have said the blog of one of the most detailed, also most comprehensive: http://blog.csdn.net/shuxiao9058/article/details/7529684
The following content I just paste this article, easy to see ( where the green part is different from the original text, but also we need to pay attention to):
Earlier, we talked about how to u
Recommended New Installation Tutorials
http://blog.csdn.net/chenhaifeng2016/article/details/78874883
The install Depth Learning framework requires the use of CUDA/CUDNN (GPU) to speed up computing, while installing CUDA/CUDNN requires Nvidia's graphics driver to be installed first.
I ran into a driver conflict during the installation, looping through the two issues so that I finally had to reinstall the o
The problem description determines whether the uninstall method installed by the. Run format needs to be uninstalled
Problem Description
The improper Cuda and driver Uninstall method instructions installed with the. Run file (if the. deb file is installed, you should refer to Cuda installation official tutorial). determine if uninstallation is required
Because the Cu
Tags: roc port nim Uda cal. Text exec iOS libFile directory:Cudatest|--utils.cu|--utils.h|--squaresum.cu|--squaresum.h|--test.cpp|--cmakelists.txtCompile command:$CD/root/cudatest$mkdir Build$CD Build$cmake:$makeThe relationship between the helpers:Utils: Provide common tools, here to provide query equipment information function;Squaresum: Calculates the square sum function, realizes the core function of Cuda runningTest: Call the square sum functionC
Key core License Plate Recognition machine, License Plate Recognition camera, OCR License Plate Recognition
Background of License Plate Recognition cameras
With the construction of a smart city, the concept of smart parking lots has entered the field of view. The traditional parking lot management mainly distributes I
Http://www.cnblogs.com/gaowengang/p/6068788.htmlThis article installs the environment:-Dual Graphics: Intel set + NVIDIA single display-Ubuntu 14.04.4-CUDA 8.0.441. The DEB installation package is a pit (don't use this method!) )With the DEB installation package Cuda-repo-ubuntu1404-8-0-local_8.0.44-1_amd64.deb, after the installation is complete, the reboot appears with a black screen,-resolution after a b
In recent days want to c,cuda,mpi mixed compiled Linux to rewrite the dynamic link library libtest.so, after two or three days of the first large variety of search information, turn over a variety of makefile files, all kinds of reading blog, finally. Finally, I'm crying for joy.
1. First understand how the CPU side to encapsulate code into a dynamic link library
Reprint Address: http://www.cnblogs.com/huangxinzhen/p/4047051.html
Of course, a lot of r
1. For more information, see Https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#runfile-nouveau2. Remote SSH access to the Ubuntu host needs to set a static IP address.3. Install the official guide to determine that the installed Cuda version is compatible with the Ubuntu system version and is compatible with the GCC version4. Turn off the grap
CUDA, cudagpuDynamic Parallelism
So far, all the kernel is called on the host, and the GPU works completely under the control of the CPU. CUDA Dynamic Parallelism allows the GPU kernel to create a call on the device. Dynamic Parallelism makes recursion easier to implement and understand, because the startup configuration can be determined by the thread on the device at runtime, which also reduces data trans
Today, using the thread in Cuda block to modify the hexahedral of two for loops has been wrong.// For (int i= 0;i// { int j= threadidx.x; int i= threadidx.y; // For (int j = 0; j {Is that the incorrect sequence of I and J affects the coordinate position when calculating vertex coordinates: Boxverticescuda[gridindexnumstop]. Pos,-boxlength/2+widthblock*j, Boxtopy, (Boxlength/2-lengthblock*i));The Thread.x Thread.y
Create a Cuda project on vs2008, create the test. Cu file, copy the following code, compile and execute the code, and clearly see the difference between GPU running matrix multiplication and CPU efficiency. The following result is displayed on my PC. The GPU efficiency of matrix multiplication is improved by about an order of magnitude (relative to the CPU). The development environment is vs2008 + cuda5.x Development Kit + gt520m graphics card.
Progr
Vs2010 error: the imported project XXX is not found. Make sure that the path in the E: \ igsnrr \ Dev \ phdthesiscode_cuda \ gtcg. vcxproj: error: the imported project "C: \ Program Files (x86) \ msbuild \ Microsoft. CPP \ v4.0 \ buildcustomizations \ Cuda 5.5.props ". Make sure that the path in the Solution: Find the vcxproj file of the project and find all "Cuda 5.5" content, as shown below:Modify the ver
Oracle VM VirtualBox Downloadubuntu14.04Install the VirtualBox first and then mount the ubuntu14.04 on top. Note To install the enhancements (after starting the virtual machine, select the "Devices" menu, select the "Insert Guest additions CD Images" option.) If you do not see devices, press the right crtl+c), otherwise the screen is not displayed completely.Caffe installation (temporarily not well, encountered problems: After the installation of Cuda
This section describes how to install a license server and use XenCenter to patch and upgrade the server after authorizing the XenServer server.
In order to realize the easy-to-use commitment, the release of XenServer 6.2.0 replaces the previous XenServer Free
Edition, Advanced Edition, EnterpriseEdition, and Platinum Edition. In this simplification, we also introduced the * licensing method for each slot. The li
Original English:A short guide to open-source and similar licenses
Many software developers and designers have the idea of making their software works open-source. They want others to share their work and use their work. The reason why open-source communities can flourish is that people have such aspirations. Open-source software is so rich that it can be found in any application field you can think. Most designers have used open-source software and open-source code as an indispensable part of t
Blacklist nouveau
Blacklist rivafb
Blacklist nvidiafb
Blacklist rivatv
After completing the preceding steps, download the cuda software (using the latest version 6.5)
The https://developer.nvidia.com/cuda-downloads downloads from the appropriate System Selection
After the download, you can run the installation.
Chmod + x cuda_6.5.14_linux_64.run
./Cuda_6.5.14_linux_64.run
The process went smoothly and ther
Looking at Cuda information for some time, there are also a lot of information on the Cuda environment configuration online, such: visual Studio 2008 + visual assist X's cuda2.3 compiling environment sets up yongge's Cuda vs2005 wizard and so on, mainly for the configuration of vs integrated development environment, but there are few command line methods. I think
MemoryThe performance of kernel can not be explained simply from the execution of Warp. For example, the previous post involved that setting the block dimension to half of the warp size would cause the load efficiency to be lowered, which could not be explained by warp scheduling or parallelism. The root cause is that the way to get global memory is poor.It is well known that the operation of memory occupies a very important position in the language that emphasizes efficiency. Low-latency and Hi
CUDA 8.0 in the function of the call is easy to move people. The following is the VC + + from the online learning of the. cpp file calls the Cuda. cu file in the function method, and the general VC + + function call method basically no difference.The Cuda version used is Cuda 8.0, which is installed by default.1.vs2013
Problem Description: Error while loading shared Libraries:libcudart.so.8.0:cannot open Shared object file:no such file or directory
Workaround: First verify that the path in/etc/profile contains the installation path of the cuda8.0 and the corresponding library file
Export path= $PATH:/usr/local/cuda-8.0/binExport Ld_library_path= $LD _library_path:/usr/local/cuda-8.0/lib64Export Library_path= $LIBRARY _p
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