Article

Using Basic Capabilities of Multi-Device Systems with OpenCL™

Download for Windows*

Автор: Последнее обновление: 31.05.2019 - 14:10
Article

Tutorial: Getting Started with OpenCL™ on Android* OS

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Автор: админ Последнее обновление: 17.05.2019 - 12:00
Article

Tutorial: Getting Started with RenderScript*

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Автор: Последнее обновление: 31.05.2019 - 14:40
Article

GPU-Quicksort in OpenCL 2.0: Nested Parallelism and Work-Group Scan Functions

Introduction A Brief History of Quicksort
Автор: Robert I. (Intel) Последнее обновление: 31.05.2019 - 14:20
Article

Sierpiński Carpet in OpenCL* 2.0

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

Автор: Robert I. (Intel) Последнее обновление: 31.05.2019 - 14:20
Article

OpenCL™ Advanced Video Motion Estimation Tutorial

Download for Windows* Downlo

Автор: Последнее обновление: 31.05.2019 - 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...
Автор: Последнее обновление: 31.05.2019 - 14:20
Блоги

opencl_node basic interfaces and opencl_buffer

This post continues a series of articles that describes the opencl_node, a new node available in the Intel® Threading Building Blocks (Intel® TBB) library since version 4.4 Update 2.

Автор: Alex (Intel) Последнее обновление: 30.05.2018 - 07:08
Article

SPIR-V is a better SPIR with Intel® OpenCL™ Code Builder

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Автор: Robert I. (Intel) Последнее обновление: 08.07.2019 - 14:19
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.
Автор: Rick Blacker (Intel) Последнее обновление: 18.01.2018 - 16:13