_ COMMAND_ACQUIRE_D3D10_OBJECTS_KHRAndCL_COMMAND_RELEASE_D3D10_OBJECTS_KHRWhen param_name is CL_ENCENT_COMMAND_TYPE, it is returned in the parameter param_value of clGetEventInfo.
The OpenCL D3D10 interoperability function is included in the header file cl_d3d10.h. The Khronos extension of D3D10 can be obtained from the Khronos website. For some released versions, you may need to download this extension.
T
);
WaitForEventAndRelease ( mapevt );
// Verify the result and compare it with the cpu computing result
If (! Memcmp (buf, ptr, BUFSIZE ))
Printf ("Verify passed \ n ");
Else printf ("verify failed ");
If (buf)
Free (buf );
If (buf1)
Free (buf1 );
If (buf2)
Free (buf2 );
After the program ends, these opencl objects are generally automatically released, but for the sake of completeness of the program, a good habit is developed. Here I add the code t
work group size, which may be 256.
// Run the kernel command. The range value is 1 dimension, and the work itmes size is bufsize.
Cl_event EV;
Size_t global_work_size = bufsize;
Clenqueuendrangekernel (queue,
Kernel,
1,
Null,
Global_work_size,
Null, 0, null, eV );
Status = clflush (Queue ); Waitforeventandrelease ( eV );
// Copy data back to host memory
Cl_float * PTR;
Cl_event mapevt; PTR = (cl_float *) clenqueuemapbuffer (queue,
Buffer,
Cl_true,
Cl_map_read,
0,
Bufsize * sizeof (cl_float )
back to host memoryCl_float *ptr;
Cl_event mapevt;PTR = (cl_float *) Clenqueuemapbuffer (queue,BufferCl_true,Cl_map_read,0,BUFSIZE * sizeof (cl_float),0, NULL, NULL, NULL);
Status = Clflush (queue);Waitforeventandrelease (MAPEVT);
Result validation, comparison of results with CPU calculationsif (!memcmp (buf, PTR, BUFSIZE))printf ("Verify passed\n");else printf ("Verify failed");
if (BUF)Free (BUF);if (BUF1)Free (BUF1);if (BUF2)Free (BUF2);
After the program is finished, these
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
the AMD's OpenCL SDK is installed directly, like Workstation-1, has installed AMD OpenCL for the video card The SDK can therefore use the CPU directly, and like workstation-2 if you intend to run the program on a multi-core CPU, you also need to install an AMD OpenCL SDK for AMD's CPU to provide an OPENCL environment.
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
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
/system/vendor/lib/libpvrocl.soTable 3 ARM GPUs
Product model
OpenCL Support
ARM MALI400MP
Not supported
ARM MALI450MP
Not supported
ARM Mali Series 600
√ (full profile OpenCL1.1)
ARM Mali Series 700
√ (full profile OpenCL1.1)
ARM Mali support OpenCL GPU phone, now on the market is still relativel
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
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
perform routines on the NVIDIA GPU, you need to download the nvidia GPU Computing SDK.
To perform routines on the Intel CPU, you need to download the Intel SDK for OpenCL.
You can install multiple OpenCL SDK on a single computer, and there is no conflict.
CPU and GPU
The modern CPU consists of several processi
AMD Graphics Ubuntu System OPENCL Environment Setup
1. Install the video driver
1) Download the driver in Http://support.amd.com/zh-cn/download/linux, be sure to note the version
2) Install Fglrx-core_15.302-0ubuntu1_amd64_ub_14.01.deb First, you may encounter a lack of libc6-i385 lib32gcc1 dkms, perform
sudo apt-get autoremove sudo apt-get autoclean
Sudo apt-ge
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 (
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
translation errors that made it difficult to understand. I wanted to help with the change, but I don't know how to invest ..
Later, for further study, I applied for an account in the NVIDIA developer zone this morning. It seems that this account can only be successfully logged on to the home page of the United States, it took a lot of effort to find the SDK, that is, the GPU computing SDK, the notebook can only download 1.0
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
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> 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
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