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OpenCL programming guide for interoperability with Direct3D and opencl programming guide

OpenCL programming guide for interoperability with Direct3D and opencl programming guide This article describes the interoperability between OpenCL and D3D 10.1. initialize OpenCL context for Direct3D interoperability OpenCL sharing is enabled by pragma cl_khr_d3d10_sharing:

Opencl learning step by step (1) install amd opencl app

Start learning opencl ...... Because old wolf's video card is amd 5xx's redwood, we will first introduce the installation of opencl app (accelerated parallel processing. : Http://developer.amd.com/tools/hc/AMDAPPSDK/downloads/Pages/default.aspx Installation notes: http://developer.amd.com/tools/hc/AMDAPPSDK/assets/AMD_APP_SDK_Installation_Notes.pdf Useful information: http://developer.amd.com/too

OpenCL learning stepbystep (2) A simple OpenCL Program

Now, we start to write a simple OpenCL program, calculate the sum of the two arrays, and put them in another array. The program calculates with the CPU and GPU respectively, and finally verifies whether they are equal. The process of the OpenCL program is roughly as follows: The main code in sourcecode is: intmain (intargc, char * argv []) { Now, we start to write a simple

Opencl learning step by step (2) A simple opencl Program

Now, we start to write a simple opencl program, calculate the sum of the two arrays, and put them in another array. The program calculates with the CPU and GPU respectively, and finally verifies whether they are equal. The procedure of the opencl program is roughly as follows: The main code in source code is as follows: Int main (INT argc, char * argv []){// Create three buffers in the host memoryFloat *

OpenCL Learning Step by Step (2) a simple OpenCL program

transferred from: http://www.cnblogs.com/mikewolf2002/archive/2012/09/05/2671261.html Author: Mike Old Wolf Now, we begin to write a simple OpenCL program that calculates the sum of two arrays and puts them in another array. The program calculates the CPU and GPU separately, and finally verifies that they are equal. The process of the OPENCL program is roughly as follows: The following are the main codes

Opencl-sobel detection and opencl-sobel

Opencl-sobel detection and opencl-sobel Comparison of the time of the C version, neon, and GPU detected by sobel. Platform: LG G3, Adreno 330, img size 3264x2448 Sobel: C code Neon GPU 73 13 42 + 3.7 + 6.6 Unit: ms GPU time = memorytime + Queued time + Run time Sobel org Sobel vector Sobel vector + mem_fence Que

Opencl: a Heterogeneous Computing Architecture)

Directory 1 Abstract 2. Why opencl? 3. opencl Architecture 3.1 Introduction 3.2 platform model 3.3 execution model 3.3.1 Kernel 3.3.2 Context 3.3.3 command queue 3.4 Memory Model 3.5 Programming Model 4. opencl-based programming example 4.1 Process 4.2 Image Rotat

Learn the OpenCL development (i) architecture from scratch

Thank you for your attention reprint this article please specify: http://blog.csdn.net/leonwei/article/details/8880012 This article will be the first of my series of articles on "Starting from scratch for OpenCL development." 1 Heterogeneous computing, GPGPU and OpenCL OpenCL is currently a common standard for multi-cpu\gpu\ other chip heterogeneous computing (

AMD opencl university course (2)

1. opencl Architecture Opencl can implement parallel computing on hybrid devices, including CPU, GPU, and Other Processors, such as cell processors and DSPs. With opencl programming, you can achieve portable parallel acceleration code. [However, due to the different hardware performance of each opencl device, specific

Learning opencl development from scratch (I) Architecture

Thank you for your attention reprinted this article Please note: http://blog.csdn.net/leonwei/article/details/8880012 This article will be the first article in my "start from scratch for opencl development" series. 1 Heterogeneous Computing, gpgpu and opencl Opencl is a common multi-CPU, GPU, and other chip Heterogeneous Computing (heterogeneous) Standard launc

Who is the master of sinking opencl and Cuda architecture in-depth analysis

Recently, khronos announced the first test version of opencl (Open Computing language). Once released, it was a big wave in the field of general computing! Opencl is an open and free standard for concurrent programming for general purposes of heterogeneous systems, initiated by Apple and jointly developed by many famous manufacturers in the industry. It is also a unified programming environment. It facilita

Ten reasons why Android shocould support opencl

Ten reasons why Android shocould support opencl> Wednesday, 1_l 3, 2013 In an earlier post, I explained why a Google Engineer's grievance with opencl was mistaken. Now here are ten reasons why Google shoshould make opencl the high-performance language of choice on Android:10. GPU vendors are the driving force behind opencl

Multi-GPU and multi-core CPU heterogeneous computing--1 for OpenCL

Original Author: Fei Hong surprised snow address Click to open the link This paper mainly explores the problem of the heterogeneous computing of the GPU and multi-core CPUs of OpenCL, and briefly expounds what is the OpenCL heterogeneous computing, describes the characteristics of CPU and GPU, and combines them to make the foreground of heterogeneous computing. Then specifically how to build a multi-GPU and

Visual Studio 2013 and Intel SDK for OpenCL 6.1 environment setup

I. OPENCL installation, setup and use1. What is OpenCL?OpenCL (Universal Open Computing Language, open Computing language) is the first open, free standard for common purpose parallel programming for heterogeneous systems and a unified programming environment for software developers for high-performance computing servers, desktop computing systems, Handheld devic

Read opencl from Cuda

Just like a freshman C ++ or a sophomore compilation, I also wrote Cuda for a few months. Then, think about it, and I should start to explain it, I learned something at the lower layer of Cuda and may know more about heterogeneous programming. 1 OverviewFull name of opencl: Development Computing language, parallelProgramThe development standard, used in combination with any heterogeneous platform-including multi-CPU, GPU, CPU and GPU.

Learning opencl development from scratch (2) a simplest example and simple Performance Analysis

Welcome to repost, please note Http://blog.csdn.net/leonwei/article/details/8893796 1 Hello opencl Compile a simple example program to demonstrate the basic usage of opencl: 1. You can download an opencl SDK from the developer website of nvdia, AMD, Intel, or all opencl members. Although different companies support di

Android Phone GPU OpenCL Summary

A short time ago, the market on the phone GPU OpenCL support to make a summary. Summarized as follows:At present, the mobile phone GPU market has four companies products: Qualcomm, Imagination Technologies,arm, Vivante, respectively, the corresponding products are as follows: (all forms are listed according to the time of product listing)Table 1 Qualcomm GPU Product model OpenCL Support

Opencl and renderscript Summary

Tags: Android style blog HTTP Io color ar SP File Opencl should be developed on Android, and libopencl should be available on mobile phones. so file (that is, the opencl driver); but this file is rarely available on Android mobile phones. The reason is that although AMD, Intel, NVIDIA, and Apple support opencl, Google does not seem to support

ubuntu16.04 Installing OpenCL

://www.geforce.cn /drivers/results/108769sudo apt-get install nvidia-# # sudo apt-get install nvidia-361# 我的外星人GPU为GTX590,注意看367的支持列表中有GTX590,所以sudo apt-get install nvidia-367即可Installing OpenCL-related packagessudo apt-get install nvidia-Installing CUDA Toolkitsudo apt-get install nvidia-cuda-toolkitOnce the installation is complete, enter clinfo on the command line to see that the Nvidia platform and GPU devices have been found.clinfoMikedayLinks: H

OpenCL principle Architecture

1 Heterogeneous computing, GPGPU and OpenCL OpenCL is currently a common standard for multi-cpu\gpu\ other chip heterogeneous computing (heterogeneous), co-sponsored by many companies and organizations, and it is cross-platform. Designed to take full advantage of the GPU's powerful parallel computing capabilities and work with CPUs to efficiently perform large-scale (especially high-parallelism) computation

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