参考文章:
OpenCL编程
官网
https://www.khronos.org/opencl/
3-OpenCL快速入门教程(函数编写指导)
https://blog.csdn.net/CharleeChan/article/details/79946932
从零开始学习OpenCL开发(一)架构描述、CUDA指南翻译
https://blog.csdn.net/weixin_34321753/article/details/93395139
从零开始学习OpenCL开发(二)一个最简单的示例与简单性能分析、有代码
https://blog.csdn.net/xz4385478/article/details/80854020
OpenCL编程入门(一)、完整的demo例程
https://blog.csdn.net/lychee_ee/article/details/40783583
OpenCL快速入门教程
https://www.cnblogs.com/leiben/archive/2012/06/05/2536508.html
OpenCL的C++头文件cl.hpp、cl2.hpp编译、安装、使用
OpenCL-Headers(C语言头文件)
https://github.com/KhronosGroup/OpenCL-Headers
OpenCL-CLHPP(C++头文件编译)
https://github.com/KhronosGroup/OpenCL-CLHPP
CLUtils库可能需要的源码
https://github.com/nlamprian/CLUtils
https://github.com/GabrieleCocco/CLUtil
cl.hpp、cl2.hpp使用
OpenCL程序编程基本流程
https://blog.csdn.net/a5nan/article/details/52383302
opencl: C++ 接口(cl.hpp)创建kernel
https://blog.csdn.net/10km/article/details/50755251
OpenCL安装
前提已经安装完成显卡驱动和CUDA,tensorflow和pytorch可以正常使用GPU加速
#安装openCL头文件
sudo apt-get install nvidia-opencl-dev nvidia-modprobe nvidia-opencl-icd-418
export LD_LIBRARY_PATH="/usr/local/lib:/usr/local/cuda-10.1/lib64:/usr/local/cuda-10.1/targets/x86_64-linux/lib/:~/Qt5.14.2/5.14.2/gcc_64/lib:$LD_LIBRARY_PATH"
#添加到~/.bashrc
windows和Linux下的intel SDK OpenCL下载
https://software.intel.com/content/www/cn/zh/develop/tools/opencl-sdk.html
https://software.intel.com/content/www/cn/zh/develop/tools/opencl-sdk/choose-download.html
Ubuntu16.04 安装OpenCV&OpenCL
https://blog.csdn.net/qq_28483731/article/details/68235383
Ubuntu16.04 + CUDA8.0 + OpenCL + Nvidia 安装配置和问题总结
https://blog.csdn.net/u012253191/article/details/78997529
基于ubuntu平台 介绍和配置OpenCL