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 mem
reading files in the code later.
Next, find linker, click additional library directories, and add $ (amd1_dkroot) \ Lib \ x86.
Then, click input and add opencl. lib to additional dependencies.
In this way, we have completed all the preparations.
Next, we can write the opencl kernel code required in this example:
__kernel void MyCLAdd(__global int *dst, __global
At hand a RK3288 board, on the board tested a 1080p color graph gray Conversion of OpenCL example. OpenCL does not have any optimizations. For example, please visit here. This example is an executable program compiled under the cheer Android platform.Go to the Jni folder and
three buffers in the host memory
Float * buf1 = 0;
Float * buf2 = 0;
Float * buf = 0;
Buf1 = (float *) malloc (BUFSIZE * sizeof (float ));
Buf2 = (float *) malloc (BUFSIZE * sizeof (float ));
Buf = (float *) malloc (BUFSIZE * sizeof (float ));
// Initialize buf1 and buf2 with some random values
Int I;
Srand (unsigned) time (NULL ));
For (I = 0; I
Buf1 [I] = rand () %65535;
Srand (unsigned) time (NULL) + 1000 );
For (I = 0; I
Buf2 [I] = rand () %65535;
// Compute the sum of buf1, buf2, and cpu
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 *
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
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
opencl device includes one or more Cus (compute units ), each Cu includes one or more PES (process element ). Each PE has its own program counter (PC ). The host is the host device of the opencl Runtime Library. In the opencl platform of AMD and mongoda, the host generally refers to the x86 CPU.
For the amd platform, all CPUs are one device, each core of the CPU
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
explanation of the relationship between Cuda and opencl. They are not conflicting, but inclusive. Opencl is an API. At the first level, the Cuda architecture is at a higher level. In this architecture, whether it is an API like opencl or dx11, or computing like C, Fortran, or dx11, are supported. As program developers, they generally only understand these langua
clearer.
Figure 1 Cpu-gpu heterogeneous computing advocated by the OPENCL standardWe know that CPUs and GPUs have strengths, and the CPU is generally adept at handling irregular data structures and unpredictable access patterns, as well as recursive algorithms, branch-intensive code, and single-threaded threads. Such program tasks have complex instruction scheduling, looping, branching, logical judgments, and execution steps. For
industry-standard OpenGL and OpenAL, which are used for three-dimensional graphics and computer audio, respectively, for the two standard. OpenCL extends the ability of the GPU to be used outside of graphics generation. OpenCL is run by Khronos Group, a nonprofit technology organization. In addition, OpenCL is a cross-platform standard and not a cross-platform t
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
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
). Next, a brief introduction of OPENCL based on the heterogeneous programming approach, before OPENCL programming, it is best to understand the OpenCL architecture model, the specific information can be referred to: from the beginning to learn OPENCL development structure, this will not repeat. (Instance environment:
For the arm Mali GPU, currently supports OpenCL1.1, so we can use OpenCL to speed up our calculations.There has been no environment for the Mali GPU to be tested for OPENCL programming. Finally got a Huawei Mate7, but because Huawei did not provide OpenCL driver (in the second half of the year, Huawei will have OpenCL
Http://www.csdn.net/article/2013-10-29/2817319-the-application-areas-opencl-can-be-used
Abstract:Which type of algorithm is faster when the accelerator and opencl are used? Professor Wu Feng from the Virginia University of Technology and his team gave an example of an algorithm list, sharing 13 typical cases that opencl
Because the image processor (GPU) has a highly parallel infrastructure, it can perform some type of application faster than traditional central processing units (CPUs). The Open Computing Language (OPENCL) is one of the most popular languages to harness the power of the GPU. A typical example is the Adobe Premiere Pro CS6, which accelerates image and video processing by performing
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