cuda in python

Source code and running result Cuda: https://github.com/zhxfl/cuCNN-I C language version reference from: http://eric-yuan.me/ The accuracy of the mnist library for famous handwritten numbers recognition is 99.7%. In a few minutes, CNN training can reach 99.60% accuracy. Parameter configuration The network configuration uses config.txt for configuration # comments between them, and the code will be filtered out automatically. For other formats, refer

Syntax highlighting in addition to the look comfortable, you can use F11 to find functions, variable definitions, hitting the function will also have a corresponding hint.The following is a set of code highlighting.In the Helloworldcuda.cu file above, the Cuda C + + keyword __global__ and so on are not highlighted, and there is a stroke curve. The following syntax highlighting of Cuda C + + keywords and fun

1. when compile /home/wangxiao/NVIDIA-CUDA-7.5 SAMPLES, it warning: gcc version larger than 4.9 not supported, so:old verson of gcc and g++ are needed: sudo apt-get install gcc-4.7 sudo apt-get install g++-4.7 Then, a link needed:sudo ln-S/Usr/Bin/gcc-4.7 / usr/local/cuda/bin/gccsudo ln - s /usr/bin /g++-4.7/usr/local/ cuda/bin/g ++ When c

What is CUDA Toolkit?For developers using C and C + + to develop GPU- accelerated applications, NVIDIA CUDA Toolkit provides a comprehensive development environment. CUDA Toolkit includes a compiler for Nvidia GPUs, many math libraries, and a variety of tools that you can use to debug and optimize application performance. You'll also find programming guides, use

0. IntroductionThis paper records the learning process of cuda-just beginning to touch the GPU-related things, including graphics, computing, parallel processing mode, first from the concept of things to start, and then combined with practice began to learn. Cuda feel no authoritative books, development tools change is faster, so the total feeling is not very practical. So this article is from the perspecti

(texref1d));//Unbind -Cutilsafecall (Cudafree (dev1d));//Free memory Space $ Cutilsafecall (Cudafree (DEVRET1D)); theFree (HOST1D);//free up memory space the Free (HOSTRET1D); the the ///2D Texture Memory -cout "2D Texture"Endl; in intwidth =5, height =3; the float*HOST2D = (float*) Calloc (width*height,sizeof(float));//Memory Raw Data the float*HOSTRET2D = (float*) Calloc (width*height,sizeof(float));//Memory return Data About theCudaarray *cuarray;//

There are two versions that developers need to care about when developing Cuda applications: computing capability-describe product specifications and computing device features and Cuda driver API version-Describe the features supported by the driver API and runtime.You can obtain the driver API version from the macro cuda_version in the driver header file. Developers can check whether their applications req

Cuda file organization Original article address:Cuda Study Notes 2 Author:Ye Isaac Cuda file organization: 1. Cuda projects can contain. Cu AND. cpp. 2. In the. Cu file, you can use # include "cuda_x.cuh" to call the functions in. Cu or # include "cpp_x.h ". For example, declare Class A in test1.h; Define the related member functions of Class A in t

I have long heard of many advantages of Cuda nexus: Support for GPU thread debugging and analysis... It took me one afternoon to build the Cuda nexus environment. The following are the points to pay attention to when building: I. Hardware: During remote debugging, the target machine's video card must be a Cuda Device of G92 or gt200, and the host can be any vi

1The first thing to do is to turn on GPU acceleration to install CUDA. To install CUDA, first install Nvidia drive. Ubuntu has its own open source driver, first to disable Nouveau. Note here that the virtual machine cannot install Ubuntu drivers. VMware under the video card is just a simulated video card, if you install Cuda, will be stuck in the Ubuntu graphics

This is a wonderful idea ... We don't talk about whether it means anything. This wonderful idea appears based on the following 2 points: 1, OPENCV code once compiled into a library file, it is difficult to modify the internal code, although most of the need to modify the part has been referred to the interface above. 2, OpenCV in the use of Cuda accelerated code written or very efficient, however, the corresponding large, complex C + + interface conv

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

Nvidia cuda Driver For Linux local information leakage Vulnerability Release date:Updated on: Affected Systems:Nvidia cuda DriverDescription:--------------------------------------------------------------------------------Bugtraq id: 45717 NVidia is the world's leading manufacturer of graphics processing chips and graphics cards. Nvidia cuda Driver for linux h

1. Update DriverTo download the system graphics driver, first view your graphics card model in Device Manager, mine is GeForce GTX 960, then download the corresponding driver and install it on the official website.Official website: NVIDIA driver download2. Installing CudaDownload the corresponding Cuda Toolkit on the website, here I choose the Underground download, and then directly installed.Website: CUDA

9. Cuda shared memory use ------ GPU revolutionPreface: I will graduate next year and plan for my future life in the second half of the year. In the past six months, it may be a decision and a decision. Maybe I have a strong sense of crisis and have always felt that I have not done well enough. I still need to accumulate and learn. Maybe it's awesome to know that you can go to Hong Kong from the Hill Valley. Step by step, you are satisfied, but you ha

Today we will talk about several cuda-related concepts in the GPU hardware structure: thread block grid warp SP Sm SP: the most basic processing unit. The specific commands and tasks of streaming processor are processed on the SP. GPU for parallel computing, that is, multiple SPs simultaneously Process SM: multiple SPs and other resources form an SM, streaming multiprocessor. Other resources are storage resources, shared memory, and storage devices. W

Finally, the content of the thread is parsed: In SIMD terms, each of the 32 threads is called a line Cheng, which executes the same instruction, and each thread uses a private register to make this operation request.Suddenly feel, do Cuda program like to go to Beijing to work: write MPI, but also to see Pthread, and then switch to English class to write a pile of homework, and also see jquery sometimes write a page unavoidably use, and go to Beijing,