Blog post

opencl_node overview

Introduction
Authored by Alex (Intel) Last updated on 05/30/2018 - 07:08
Article

Code Sample: Use LibRealSense and OpenCV* to stream RGB and Depth Data

You can use LibRealSense and OpenCV* to stream RGB and depth data from your connected Intel® RealSense™ camera. This tutorial and code sample shows how to do this, based on the Ubuntu* operating system. In the end you will have a nice starting point where you use this code base to build upon to create your own LibRealSense / OpenCV applications.
Authored by Rick Blacker (Intel) Last updated on 01/18/2018 - 16:13
Article

使用 LibRealSense 和 OpenCV 流传输 RGB 和深度数据

This article shows you how you can use LibRealSense and OpenCV to stream RGB and depth data. In the end you will have a nice starting point where you use this code base to build upon to create your own LibRealSense / OpenCV applications.
Authored by Rick Blacker (Intel) Last updated on 01/18/2018 - 16:13
Article

SPIR-V*:面向 OpenCL™ 工作负载的英特尔® 显卡编译器默认接口

英特尔® 显卡编译器最近从 SPIR* 转换到 SPIR-V*,作为面向 OpenCL™ 工作负载的中间表示。这看起来像编译器的内部变化,对用户来说不可见,但是这展示了我们支持 Khronos* 开放标准的承诺。现在,下载至编译器的大多数计算工作负载都将使用 SPIR-V。

下文简要介绍了在 OpenCL 应用中使用 SPIR-V 的优势以及如何开始使用它。

Authored by Pawel Jurek (Intel) Last updated on 03/13/2019 - 19:40
Article

SPIR-V*: Default Interface to Intel® Graphics Compiler for OpenCL™ Workloads

Intel® Graphics Compiler has recently switched from SPIR* to SPIR-V* as an intermediate representation for OpenCL™ workloads.

Authored by Pawel Jurek (Intel) Last updated on 05/02/2019 - 10:50
Article

Intel® SDK for OpenCL* Applications - Performance Debugging Intro

To the Intel® OpenCL SDK page

Authored by Maxim Shevtsov (Intel) Last updated on 05/31/2019 - 14:10
Article

Sierpiński Carpet in OpenCL* 2.0

We demonstrate how to create a Sierpinski Carpet in OpenCL* 2.0

Authored by Robert I. (Intel) Last updated on 05/31/2019 - 14:20
Article

Using OpenCL™ 2.0 Read-Write Images

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
Authored by Last updated on 05/31/2019 - 14:20
Article

使用 OpenCL™ 2.0 读写图片

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
Authored by Last updated on 05/31/2019 - 14:20
Article

The Generic Address Space in OpenCL™ 2.0

Introduction What is the Generic Address Space?
Authored by Adam Lake (Intel) Last updated on 07/03/2019 - 10:34