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

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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
Article

Intro to Device Side AVC Motion Estimation

This article introduces the new device-side h.264/Advanced Video Coding (AVC) motion estimation extensions for OpenCL* available for Intel Processor Graphics GPUs. Video motion estimation is a powerful feature which can enable new ways of thinking about many algorithms for video codecs and computer vision. The search for most representative motion vector, which is computationally expensive if...
Автор: Jeffrey M. (Intel) Последнее обновление: 24.01.2019 - 16:28