opencl

OpenCL HelloWorld

由 孤人 提交于 2020-01-12 18:54:43
问题 I've just started working in opencl and I'm currently working on what should be a relatively basic hello_world program in opencl. Unfortunately the program is not outputting the proper phrase or anything at all it instead hangs with no output. Any idea on why that is the case? Below is: openglsource.cpp and hello.cl #define CL_USE_DEPRECATED_OPENCL_2_0_APIS #include<CL/cl.hpp> #include<iostream> #include <fstream> int main() { std::vector<cl::Platform> platforms; cl::Platform::get(&platforms)

how to profile sequential launched multiple OpenCL kernels by one clFinish?

由 ≡放荡痞女 提交于 2020-01-12 08:36:06
问题 I have multiple kernels, and they are launched in sequential manner like this: clEnqueueNDRangeKernel(..., kernel1, ...); clEnqueueNDRangeKernel(..., kernel2, ...); clEnqueueNDRangeKernel(..., kernel3, ...); and, multiple kernels share one global buffer. Now, I profile every kernel execution and sum them up to count total execution time by adding the code block after clEnqueueNDRangeKernel: clFinish(cmdQueue); status = clGetEventProfilingInfo(...,&starttime,...); clGetEventProfilingInfo(...,

Barriers in OpenCL

由 跟風遠走 提交于 2020-01-09 03:01:46
问题 In OpenCL, my understanding is that you can use the barrier() function to synchronize threads in a work group. I do (generally) understand what they are for and when to use them. I'm also aware that all threads in a work group must hit the barrier, otherwise there are problems. However, every time I've tried to use barriers so far, it seems to result in either my video driver crashing, or an error message about accessing invalid memory of some sort. I've seen this on 2 different video cards

Implement sleep() in OpenCL C [duplicate]

由 点点圈 提交于 2020-01-08 04:18:16
问题 This question already has an answer here : Calculate run time of kernel code in OpenCL C (1 answer) Closed 4 years ago . I want to measure the performance of different devices viz CPU and GPUs. This is my kernel code: __kernel void dataParallel(__global int* A) { sleep(10); A[0]=2; A[1]=3; A[2]=5; int pnp;//pnp=probable next prime int pprime;//previous prime int i,j; for(i=3;i<10;i++) { j=0; pprime=A[i-1]; pnp=pprime+2; while((j<i) && A[j]<=sqrt((float)pnp)) { if(pnp%A[j]==0) { pnp+=2; j=0; }

Where should I using OpenCL data types?

由 隐身守侯 提交于 2020-01-07 04:25:13
问题 I have a question: where should I using OpenCL data types? For what are us? Which are covered they? 回答1: Some types are defined in the OpenCL C programming language, like int , float4 , etc. The corresponding types are defined in the host API with the cl_ prefix, like cl_int , cl_float4 , etc. These types are used in the OpenCL API functions, and should be used to pass kernel arguments and compute the size of buffers for example. 来源： https://stackoverflow.com/questions/5963800/where-should-i

Agisoft Metashape Professional for Mac(三维建模软件) v1.6.0中文版

由 一曲冷凌霜 提交于 2020-01-07 03:49:42
【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> 简介 Metashape Pro mac是Macos上一款三维建模软件，可以帮助用户更轻松快捷的进行多视点三维建模操作，可以将照片上的二维画面转换为三维的模型，可以从任何位置拍摄照片，只要在至少两张照片上就可以看到要重建的对象，有效地提升工作效率。 Agisoft Metashape Professional for Mac功能介绍 1，摄影三角测量 处理所有类型的图像：航空（最低点，倾斜）/近距离。 自动校准：框架（带鱼眼）/球形摄像机。 支持多个摄像头项目。 2，点云编辑和分类 精心模型编辑准确的结果。 对于点分类，自定义几何重建。 经典的点数据处理工作流程更有利于.LAS输出。 3. DSM / DTM 数字表面和/或数字地形模型 - 根据投影。 地理参考基于基于EXIF的元数据或飞行记录的G ps /控制点数据。 EpsG记录坐标系支持：WGS84，UTM等。 4，实拍图像 地理参考：与GIS兼容的GeoTIFF格式; Google Earth的.KML文件。 大型项目批量输出。 均匀纹理的色彩校正 5，三维测量 内置工具，用于测距，测量面积，体积 对于更复杂的测量分析，PhotoScan可以平滑地导出到外部工具，因为它支持各种输出格式。 GCP控制点：高精度测量 GCP控制结果精确编码

OpenCL Host Copying Performance Warning

由 给你一囗甜甜゛ 提交于 2020-01-07 03:42:09
问题 I have an OpenCL program that adjusts the vertex coordinates of a VBO object in a shared context. The OpenCL device is a GPU device. However, I get the following warning: Buffer performance warning: Buffer object 1 (bound to GL_VERTEX_ATTRIB_ARRAY_BUFFER_BINDING_ARB (0), GL_VERTEX_ATTRIB_ARRAY_BUFFER_BINDING_ARB (4), and GL_ARRAY_BUFFER_ARB, usage hint is GL_DYNAMIC_DRAW) is being copied/moved from VIDEO memory to HOST memory. As near as I can tell (had to add some glFlush() calls to help),

opencl(二十一)----直方图

由 房东的猫 提交于 2020-01-07 03:19:27
计算RGB图像的直方图 // kernel __kernel void histogram(__global uchar* imgdata, __global uint *histogram, __local uint *local_histogram, uint data_size_item, uint all_byte_size) { // 对局部数据进行初始化 for(uchar i =0;i<32;i++) { local_histogram[0]=0; } barrier(CLK_LOCAL_MEM_FENCE);// 局部同步 int item_offset = get_global_id(0) * data_size_item *3; // 遍历该工作项所处理的数据 for(int i = item_offset;i<item_offset+data_size_item *3&&i<all_byte_size;i+=3) { // B atomic_inc(local_histogram+imgdata[i]/8+64); // G atomic_inc(local_histogram+imgdata[i+1]/8+32); // R atomic_inc(local_histogram+imgdata[i+2]/8); } barrier(CLK_GLOBAL

passing values of vector in the OpenCL kernel

由 自闭症网瘾萝莉.ら 提交于 2020-01-06 23:00:07
问题 I have created a vector with some values. Then Created a cl_buffer for that vector and pass it to the OpenCL kernel using kernel Arguments. Like this: In host Code: std::vector<cl_double> inp; inp.resize(1024); for( int i = 0; i<1024;i++) { inp[i] = i; } filter_kernel = cl::Buffer(context,CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR,sizeof(cl_double)*inp.size(),(void*)&inp[0],&err); // also tried (void*)inp.data() kernel.setArg(0, filter_kernel); In Kernel Code: __kernel void test(__global double*

Using a barrier causes a CL_INVALID_WORK_GROUP_SIZE error

由 痴心易碎 提交于 2020-01-06 19:50:13
问题 If I use a barrier (no matter if CLK_LOCAL_MEM_FENCE or CLK_GLOBAL_MEM_FENCE ) in my kernel, it causes a CL_INVALID_WORK_GROUP_SIZE error. The global work size is 512, the local work size is 128, 65536 items have to be computed, the max work group size of my device is 1024, I am using only one dimension. For Java bindings I use JOCL. The kernel is very simple: kernel void sum(global float *input, global float *output, const int numElements, local float *localCopy { localCopy[get_local_id(0)]
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