tesla cuda

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

To create a new simple console application, the project name is Test00301, as shown in the following illustration: Then create a new file named Test01.cu in your project, as shown in the following illustration: Then select the item in Solution Explorer and right-click and select "Generate Custom ..." From the pop-up menu, as shown in the following figure: Check CUDA4.2 (or other versions) on the pop-up Visual C + + Build Customization files form, as shown in the following illustration: The

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

Not much to say, experienced a lot of inexplicable errors finally installed, directly put the installation script:#!/bin/bash# installation should be aware that some libraries may fail to install and install Caffe and PROTOBUF related errors may need to re-make the ProtobufInstallCD/home/zw/Softwares #需要事先下载对应版本的cudasudoDpkg-i cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64.debsudoapt-Get updatesudoApt-getInstallCUDACD/home/zw/git_home/#我存放git项目的目录g

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

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

Now it is necessary to get the sum of all the elements of an array, which seems unlikely before, because each thread only processes one element and cannot relate all the elements, but has recently learned a piece of code that can be implemented, and also has a further understanding of shared memory.First, C + + serial implementationThe method of serial implementation is very simple, as long as all elements are added sequentially to get the corresponding results, in fact, we focus on not the resu

1. Install Blas:$ sudo apt-get install Libatlas-base-dev2. Install the dependencies:$ sudo apt-get install Libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev Libhdf5-serial-dev Protobuf-compiler Liblmdb-dev3. Install additional dependencies:$ sudo apt-get install Libgflags-dev libgoogle-glog-dev Liblmdb-dev4. Download Caffe:$ git clone git://github.com/bvlc/caffe.gitBecause of the slow download speed, this step can be directly used by others to download the Caffe package

CUDA cannot recognize texture Just began to learn cuda texture memory, from the Internet to find learning materials, but the test, the program is prompted error: Texture Output[y*width + x] = tex2d (Texref, TU, TV); Texture,tex2d not recognized The first thought was to find the definition of the function, which was defined in the Cuda_texture_types.h file, defined as Template , so the hea

GPGPU is a nuclear equipment, including a large number of computing units, to achieve ultra-high speed parallelism. When you use Cuda to program on the NVIDIA graphics card, you can use the event provided by Cuda to do the timer. Of course, each programming language basically provides a function to get the system time, such as the C/c++/java program timer function An event can be used to count the exact