ubuntu cuda

Want to know ubuntu cuda? we have a huge selection of ubuntu cuda information on alibabacloud.com

Cuda Learning: Further understanding of blocks, threads

1. The Block and threading concepts in Cuda can be expressed in the following diagram:Each grid contains a block (block) that can be represented by a two-dimensional array, and each block contains a thread that can be represented by a two-dimensional array.2. Two-d array blocks and threads can be defined with DIM3:DIM3 Blockpergrid (3,2); Defines a 3*2=6 blocksDIM3 Threadsperblock (3,3);//define 3*3=9 threads3. How does the code for each thread in the

VS Open Project Error: "C:\Program Files (x86) \msbuild\microsoft.cpp\v4.0\buildcustomizations\cuda 5.0.props" solution not found for imported items

Sometimes due to cuda upgrade or download source of the original creation of the project is different from the Cuda version, when the project was opened found not loaded, prompted: Imported items not found "C:\Program Files (x86) \msbuild\microsoft.cpp\ V4.0\buildcustomizations\cuda 5.0.props "Workaround:Locate the. vcxproj file in your project, open it with Note

Cuda-opencv-image-Filter

I have recently learned how to use Cuda to accelerate image processing. The following describes a project example in codeproject. Image filtering is performed using Cuda. Web: http://www.codeproject.com/Articles/206036/Image-Filters-using-CPU-and-GPU The process is as follows: You can also read and process data from a video file. The main class diagram is as follows: Isingleimagefilter is an abstr

Cuda on the Windows/linux platform configuration and compilation

Some time ago, the OPENCV3.4,TX2 update source failed to install the TX2, OPENCV internal many functions have implemented GPU acceleration, but we manually write the function, want to through the GPU acceleration will need to manually call Cuda for acceleration. The following describes Cuda's environment configuration and compilation, respectively, from the Windows platform and the Linux platform.1 Windows VS2013 +

Cuda Memory Model

Cuda Memory Model: GPU chip: Register, shared memory; Onboard memory: local memory, constant memory, texture memory, texture memory, global memory; Host memory: host memory, pinned memory. Register: extremely low access latency; Basic Unit: register file (32bit/each) Computing power 1.0/1.1 hardware: 8192/Sm; Computing power 1.2/1.3 hardware: 16384/Sm; The register occupied by each thread is limited. Do not assign too many private variables to it dur

[High-Performance programming] environment configuration-Cuda environment configuration and solutions to your current failure to connect to NVIDIA GPU

In other words, I have really paid a lot for configuring the Cuda environment: My hardware configuration: Lenovo v460 laptop (the video card is geforce 310 m) Required software: All the software versions I use work with cuda4.0 Cudatoolkit cudasdk nsight vs2008 1. Software Download Download the above software on the official website: The names of the downloaded software are listed below, which are provided for reference to prevent download errors: 1

The method of using Python to write Cuda programs is described in detail

Here's a small piece to bring you a Python program using the method of writing Cuda. Small series feel very good, now share to everyone, also for everyone to make a reference. Let's take a look at it with a little knitting. There are two ways to use Python to write Cuda programs: * Numba* Pycuda Numbapro is deprecated now, features are split and integrated into accelerate and Numba, respectively. Example N

Theano Study Notes (1. Environment Anaconda + Theano + VS2010 + CUDA)

In recent days, we have been exposed to deep learning, in view of the requirements of deep learning for speed and GPU computing, and the increasing complexity of the derivation calculation after the network layer deepens, the intention is to build a Theano platform (discard matlab), only for your own entertainment (fancy irrigation) ... Main steps: CPU Calculation of Theano Build Cuda VS2010 GPU Computing of Theano 1.Theano CPU

Cuda basics (1): operational procedures and kernel concepts, cudakernel

Cuda basics (1): operational procedures and kernel concepts, cudakernel Cuda is a parallel computing framework released by Nvidia. GPU is no longer limited to processing graphics and images. It contains a large number of computing units to execute tasks that are large in computing but can be processed in parallel. Cuda operations include five steps: 1. Memory al

On the problem of OPENCV+CUDA+VS+TBB compiling OPENCV

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

Ubuntu16.04 Cuda and Driver Uninstall (installed by. Run)

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

Linux uses cmakelists to compile Cuda programs

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

Parity ordering (without Cuda) based on c++11 CPU threads __c++

Writing is not necessarily right. Wrong, please. Preface This article is made of c++11 thread.Compiling is probably g++ Sort.cpp-o3-pthread-std=c++14-o Sort Actually, I haven't learned c++14. Recently began to learn Cuda, feel thread specific how to use and hardware is directly related to different architectures AH different precision AH the way to use threads should be different. This blog is an experiment, using CPU to achieve parity sorting for fu

Analysis of CUDA hardware implementation (i) The revolution of camping---GPU

the GPU, parallel computing, all of a sudden, we have a lot closer to the parallel computation. Now in school to learn the computer is from the serial algorithm began, formed a lot of fixed serial thinking. When the problem is divided in parallel, there is a serial of ideas, it is not good: Text: We have talked about some concepts of threads before, but these concepts are soft links. We often hear so-and-so units say how good their hardware and software configuration is. The software is good,

ubuntu14.04+cuda8.0 re-installing CUDA

The problem occurs when you re-make the Caffe:sudo make runtest after reinstalling the video driver: Check Failed:error = = cudasuccess (30vs.0) unkown error ... 1. Uninstall the original Cuda sudo/usr/local/cuda-8.0/bin/uninstall-cuda-8.0.pl 2. Re-install Cuda 3. Problems occurred: /USR/BIN/LD:-lglut collect2 not foun

Run the first Cuda program in command line mode (win7 environment)

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

CUDA----Memory Model

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

VS2013 VC + + the. cpp file invokes a function in the cuda. cu file

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

Cuda Program execution Error: Libcudart.so.8.0:cannot open Shared object file:no such file or directory

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

CUDA, cudagpu

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

Total Pages: 15 1 .... 11 12 13 14 15 Go to: Go

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.