opencl

empty openCL program throws deprecation warning

橙三吉。 提交于 2019-12-04 14:56:14
I downloaded the AMD APP 3.0 SDK and as soon as I include #include <CL/cl.hpp> into my cpp it throws deprecation warnings: 1>c:\program files (x86)\amd app sdk\3.0\include\cl\cl.hpp(4240): warning C4996: 'clCreateSampler': was declared deprecated and many more. Am I doing something wrong? I feel uncomfortable starting to play with openCL having so many warnings already before writing a single line of useful code. The issue here is that cl.hpp is for OpenCL 1.X platforms, but the rest of AMD's SDK supports OpenCL 2.0. The clCreateSampler function was deprecated in OpenCL 2.0. Khronos have

printf function doesn't work in OpenCL kernel

坚强是说给别人听的谎言 提交于 2019-12-04 14:44:08
问题 Hi I trying to debug OpenCL kernel code on PS3. Here is the code: #pragma OPENCL EXTENSION cl_khr_byte_addressable_store : enable int offset() { return 'A' - 'a'; } __kernel void tKernel(__global unsigned char *in, __global unsigned char *out) { size_t i; printf(“var”); for (i = 0; i < 10; i++) out[i] = in[i] + offset(); } In IBM OpenCL_guide.pdf in section 4.3.3 on page 18, there are describe debugging kernel with printf method. So I add the printf function to my kernel and trying test it.

PyOpenCL “fatal error: CL/cl.h: No such file or directory” error during installation in Windows 8 (x64)

此生再无相见时 提交于 2019-12-04 14:41:13
After searching a lot for solutions to this problem, I found that this particular error has not been documented properly for Windows. So I have decided to post this issue along with the solution. Sorry if I am posting this in the wrong section. I hope this solution will help users with the PyOpenCL installation error in the future. Please note that the examples used here are for ATI Radeon GPUs that supports the AMD OpenCL SDK SDK. For other GPUs , please refer to their respective parameters and implement them as necessary. Also do not attempt to install using pip if the installation fails.

How to configure OpenCL in visual studio2010 for nvidia's gpu on windows?

六月ゝ 毕业季﹏ 提交于 2019-12-04 14:23:23
I am using NVIDIA's GeForce GTX 480 GPU on Wwindows 7 operating system on my ASUS laptop. I have already configured Visual Studio 2010 for CUDA 4.2. How to configure OpenCL for nvidia's gpu on visual studio 2010?? Have tries every possible way. Is it possible by any way to use 'CUDA toolkit (CUDA 4.2)' and 'nvidia's gpu computing sdk' to program OpenCL? If yes then How? If no then what is other way? KLee1 Yes. You should be able to use Visual Studio 2010 to program for OpenCL. It should simply be a case of making sure that you have the right include directories and libraries setup. Take a look

Image processing with OpenCL.NET

∥☆過路亽.° 提交于 2019-12-04 14:12:59
问题 I'm trying to do image processing on the GPU with .NET. I've downloaded OpenCL.NET wrapper. It has some good samples, but I cannot find a way to load an image to the GPU and read the processed image back. What do I have to do? 回答1: After setting up the context, do the following: public void ImagingTest (string inputImagePath, string outputImagePath) { Cl.ErrorCode error; //Load and compile kernel source code. string programPath = Environment.CurrentDirectory + "/../../ImagingTest.cl"; //The

Precision when reading image with CLK_FILTER_LINEAR in OpenCL

£可爱£侵袭症+ 提交于 2019-12-04 14:11:49
The code I used is from this question OpenCL image3d linear sampling , I've tested in 2d and 3d, both with huge diff between CPU and GPU. Here is the result of CPU: coordinate:0.000000, result: 0.000000 coordinate:0.100000, result: 0.000000 coordinate:0.200000, result: 0.000000 coordinate:0.300000, result: 10.156250 coordinate:0.400000, result: 30.078125 coordinate:0.500000, result: 50.000000 coordinate:0.600000, result: 69.921875 coordinate:0.700000, result: 89.843750 coordinate:0.800000, result: 100.000000 coordinate:0.900000, result: 100.000000 coordinate:1.000000, result: 100.000000 The

OpenCL header inclusion with relative path issue in C++

家住魔仙堡 提交于 2019-12-04 13:27:38
问题 I am trying to run an OpenCL C++ sample on Eclipse CTD that (on Mac) includes the OpenCL header as follows: #include <OpenCL/cl.h> The file exists on my system (OpenCL sdk is installed by default on Mac) but not in a OpenCL directory (actual path: /System/Library/Frameworks/OpenCL.framework/Versions/A/Headers ), so if I add that path as an included directory in the properties of the project and remove the relative OpenCL directory from the #include statement the linking is obviously resolved

How to install aparapi

烂漫一生 提交于 2019-12-04 11:59:04
I have been looking to a way to develop openCL in Java. I found aparapi interesting as it focusses on parallelization but creates openCL code as well. As I understand it the code will run with or without a GPU but still run parallized. My trouble is: where can I find documentation on how to install what? The AMD site was often pointed at, but it contains no information about aparapi, I wondered as well whether their code will work on Nvidia cards. The links to Google code is obsolete and the Github site is neither very helpful. A pointer to some more documentation is very much appreciated. As

I need help understanding data alignment in OpenCL's buffers

老子叫甜甜 提交于 2019-12-04 11:50:36
Given the following structure typedef struct { float3 position; float8 position1; } MyStruct; I'm creating a buffer to pass it as a pointer to the kernel the buffer will have the previous buffer format. I understand that I've to add 4 bytes in the buffer after writing the three floats to get the next power of two (16 bytes) but I don't understand why I've to add another 16 bytes extra before writing the bytes of position1. Otherwise I get wrong values in position1. Can someone explain me why? A float8 is a vector of 8 floats, each float being 4 bytes. That makes a size of 32 bytes. As per

Overlapping transfers and device computation in OpenCL

喜你入骨 提交于 2019-12-04 11:04:19
问题 I am a beginner with OpenCL and I have difficulties to understand something. I want to improve the transfers of an image between host and device. I made a scheme to better understand me. Top: what I have now | Bottom: what I want HtD (Host to Device) and DtH ( Device to Host) are memory transfers. K1 and K2 are kernels. I thought about using mapping memory, but the first transfer (Host to Device) is done with the clSetKernelArg() command, no ? Or do I have to cut my input image into sub-image