enable cuda

Wasting time = wasting life, Cuda prolonging your life Once, the author of a web design work in the art friend told me a joke, their units for a large-scale promotional activities, ready to design a giant banner ads, and banner ads Design task is naturally their art responsibility. But it was not my friend who was specifically responsible for the design, but a few of his colleagues. According to my friend's account, two colleagues, also designed for

In fact, the Bank conflict has not been known for the past two days. In the past two days, we have to look at the problem of matrix transpose optimization. These problems have been mentioned, but there is no way to solve them, in order to understand the bank's conflict conflicts, I had to look for information and tell the truth. I didn't fully understand it now, but I should say it was a bit eye-catching. Now I will sort out the online searches, put it here, and I will modify the errors when I f

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

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

For the purposes of performance and multi-GPU training, CNN has been studying cuda-convnet2 for a while.Search, online incredibly a decent research Cuda-convnet2 code articles are not found, it seems that the holiday has been busy.Caffe author Jiayanqing also expressed his admiration for Convnet2 author Alex in a number of occasions, showing the gap between the two CNN implementations.Caffe more in line wit

./configuresudo make sudo make install6. Lib Path(1) Open/build mkl.conf fileCommand: sudo gedit/etc/ld.so.conf.d/mkl.confInput content/opt/intel/lib/intel64/opt/intel/mkl/lib/intel64(2) Open/build cuda.conf fileCommand: sudo gedit/etc/ld.so.conf.d/cuda.confInput content:/usr/local/cuda/lib64/usr/local/cuda/lib(3) Immediate effectCommand: sudo ldconfig7. Installing protoc-cCommand: sudo apt-get install Pro

Ref: 22718173NVIDIA cuda:http://www.nvidia.cn/object/cuda-cn.htmlCuda Test Execution Time: http://www.cnblogs.com/lopezycj/archive/2011/08/09/cuda_time.htmlLearn makefile:http://www.cnblogs.com/freeaquar/archive/2012/04/03/2430860.html with Cuda SDKLinux command-line gdb debug command: http://blog.csdn.net/dadalan/article/details/3758025---------------------This article from Sandiwang csdn blog, full-text a

Cuda stream Test 1/* 2 * copyright 1993-2010 NVIDIA Corporation. all rights reserved. 3*4 * NVIDIA Corporation and its Licensors retain all intellectual property and 5 * proprietary rights in and to this software and related documentation. 6 * any use, reproduction, disclosure, or distribution of this software 7 * and related documentation without an express license agreement from 8 * NVIDIA Corporation is stric Tly prohibited. 9*10 * Please refer to

Cuda vs wizard 2.9 update Supports the latest Cuda version 5.0 First install Cuda 5.0, and then install this wizard You can easily create a project. You can easily create Lib. DLL. EXE. Static Link Library, dynamic link library, and execution program. Currently, only VS 2005 and vs2008 are supported. Vs2010 and vs2012 will be launched later. Below is MD5：dda87a94

During this time, I became familiar with Cuda and added the triangle mesh model for my experiment Renderer, We initially transplanted the original KD-tree to the GPU, but the structure of the KD-tree is still in the CPU. From simple smallpt (all of which are sphere) to the present,ProgramThe structure has been modified several times. Currently We still haven't found a good model. Cuda needs to inline all

Tesla solutions running on Windows Server 2008 and later versions or Linux can be used through the NVIDIA System Management Interface (NVIDIA-SMI, as a tool for release drivers) set any device in the system to run in one of the following three computing modes: Default computing mode: Multiple Threads can use devices at the same time (use the Runtime API to call cudasetdevice () on this device, or use the driver API to associate the current context with the device ). Computing mode exclu

Preface: from the previous article "Cuda Programming Interface (ii) ------ 18 weapons" to the present, it has been almost three months, and I don't know how everyone is doing in the "Summer vacation, what have you experienced? I spent two weeks before I went to bed. After reading the fifth book of "those things of the Ming Dynasty", I looked at the weapons of the Ming Dynasty, and thought about the Major of aircraft design I learned. The weapons of th

Login system with username cluster1. Check if the GPUis installed: Lspci | Grep-i nvidia 2. Install gcc,g++ compiler sudo yum install gcc sudo yum install gcc-c++ 3. Installing kernel-devel sudo yum install Kernel-devel 4. installation of Driver,Toolkit and Samples sudo sh cuda_5.5.22_linux_64.run--kernel-source-path= '/usr/src/kernels/2.6.32-358.23.2.el6.x86_64 ' Here we have installed a matching driver, so the first Driver out of the t

Recently need to use matconvnet under Ubuntu16.04. Because TensorFlow 1.6 supports Cuda 9.0, the new machine is loaded directly 9.0 but there are some problems when compiling matconvnet.1. Error using MEX NVCC fatal:unsupported GPU architecture ' compute_20 'Solution: This is because Cuda 8 does not support COMPUTE_20, the lowest is compute_30. So you need to modify the following code in the VL_COMPILENN.MO