opencl applications

In this tutorial, we will learn how to use opencl for simple image processing and rotating an image. Image reading, saving and other work, we use open source freeimage,: http://freeimage.sourceforge.net/ First, we create a gfreeimage class to load images. This class mainly calls the freeimage function, first initializes the freeimage library, and then guesses the image file format based on the file name, load the image file to the variable fibitmap *

Now we use the method in the previous tutorial to count the number of pixels in a pair of rgba images (This pixel satisfies the arbitrary components of R, G, B, And a> = 5 )? The method I want to consider is to create a histogram of 256 bin. For a pixel, calculate max (R, G, B, A) and use this value to determine the pixel to enter the bin, after obtaining the histogram, the width * Height-hostbin [0]-hostbin [1]-hostbin [2]-hostbin [3]-hostbin [4], that is, the result we want. The code in this t

String lookup is an important operation in the field of information security and information filtering, especially in real-time processing of large text. As an example, the exact pattern string lookup is performed using GPU OpenCL. 1. Acceleration method (1) Save a small number of constant data, such as pattern string length, text length, and so on, in the private memory of the thread. (2) The mode string is saved in the local memory of the GPU, wh

To summarize, the steps of OpenCL are almost theseFirst to get the platform ID clgetplatformids (nplatforms, platform_id, num_of_platforms)Then get the device ID clgetdeviceids (platform_id[1], CL_DEVICE_TYPE_GPU, 1,%device_id num_of_devices)It is important to note that if there are multiple devices (such as CPUs and GPUs) platform_id must be passed in as an arrayThen there is the creation context Clcreatecontext (properties, 1, device_id, NULL, NULL,

Recently I am looking at opencl programs, but I am not very familiar with the working-item running mechanism. As a result, I took a look at it intuitively with a few small programs, mainly using OpenMP testing ideas to output work-item and the data processing results. I personally think this is very helpful for me to understand its operating mechanism. The following is a program: Host Program: Main. cpp /* Project: multiply the matrix of

In opencl or cuda, the use of volatile is often ignored for access to global shared variables, which will not be problematic only once, however, if the shared variable is accessed for the second time, it will be optimized by the compiler to obtain the value when it is referenced for the first time. That is to say, the current thread will not be visible when other threads modify shared variables. The following is a simple

1. Install NVIDIA graphics driver; then install Opencl/cuda http://blog.csdn.net/canhui_wang/article/details/72540004 2. Configure the local environment for Ethereum Mining sudo apt-gethttps://github.com/genoil/cpp-ethereum/blob/master/readme.md-y install Software-properties-common sudo add-apt-repository-y ppa:ethereum/ethereum sudo apt-get update sudo apt-get install git sudo apt-get install CMake sudo apt-get install Libcryptopp-dev sudo apt-

OpenCL copies the array from memory to memory, and openclcopy I wanted to optimize the previous blog, but the optimization effect was not obvious. But remember the knowledge points. The original intention is to move the computing of the defined domain in the previous blog to the CPU for computing. Because the computing of the defined domain is the same for every kernel, direct reading can further reduce the kernel execution time. My idea was to send t

In tutorial 2, we use the converttostring function to read the kernel source file to a string, then use the clcreateprogramwithsource function to load the program object, and then call the clbuildprogram function to compile the program object. In fact, we can also directly call the binary Kernel File, so that when you do not want to show the Kernel File to others, it will play a certain role of confidentiality. In this tutorial, We will store the read source file in a binary file, and create a T

required. We write the results calculated by each working group to the output cache. Because only 8 32-bit data is output, it becomes a piece of cake to take computing in the CPU. The code for the entire project is provided below: OpenCL_Basic.zip (17 K) The above code transmits the calculated results of each Working Group to the host. So can we let the GPU solve these eight results together? The answer is yes. However, here we will use the atomic operation extension in OpenCL1.0. In OpenCL1.1,

How does GPGPU OpenCL implement exact string search? 1. Acceleration Method (1) store a small amount of constant data, such as the mode string length and text length, in the private memory of the thread. (2) Save the mode string in the local memory of the GPU, and accelerate the thread's access to the mode string. (3) Save the text to be searched in global memory, use as many threads as possible to access global memory, and reduce the average thread a

First, install opencv correctly and pass the test.I understand that the GPU environment configuration consists of three main steps.1. Generate the associated file, that is, makefile or project file.2. compile and generate library files related to hardware usage, including dynamic and static library files.3. Add the generated library file to the program. The addition process is similar to that of the opencv library.For more information, see:Http://wenku.baidu.com/link? Url = GGDJLZFwhj26F50GqW-q1

transferred from: http://www.cnblogs.com/mikewolf2002/archive/2012/09/06/2674125.html Author: Mike Old Wolf In tutorial 2, we read the kernel source file into a string string using the function converttostring, and then use the function Clcreateprogramwithsource to load the program object. Call the function Clbuildprogram to compile the program object again. In fact, we can also directly call the binary kernel file, so that when you do not want to kernel file to others to see, play a certain ro

reporting to work with Nanopool)2: ethereumstratum/1.0.0: Nicehash-RH,--report-hashrate report current hashrate to pool (* only enable on pools supporting This) -se,--stratum-email incheth-Proxy (optional)--farm-recheck forChanged work (default: -). WhenusingStratum, use a high value (i.e. -) toGetMore Stable hashrate outputbenchmarking mode:-M [ forMining and exit; Optionally specify block number to benchmark against specific DAG. --benchmark-warmup forThe benchmark tests (default:3).

, BlackBerry, and Android). They are available in every native application market.Ii. Web Applications Web applications are essentially Web-based applications designed for mobile browsers. They are developed in common Web development languages and can run on various smart phone browsers.Advantages: Supports a wide range of devices; Low development costs;