Video

GPU-Quicksort in OpenCL 2.0

In this short video you can learn how to implement GPU Quicksort in OpenCL 2.0

Authored by Gerald M. (Intel) Last updated on 03/11/2019 - 09:20
Video

Implementing Sierpiński Carpet in OpenCL 2.0

In this short video you will learn about implementing Sierpinski Carpet Kernel in OpenCL 2.0.

Authored by Gerald M. (Intel) Last updated on 03/11/2019 - 09:20
Blog post

opencl_node overview

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

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.

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

利用OpenCL 2.0实现基于GPU的快速分类算法

在本短视频里,您可以学习如何利用OpenCL 2.0实现基于GPU的快速分类算法。

Authored by Jeff X. (Intel) Last updated on 03/11/2019 - 09:20
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

How to Get Started Developing for Automated Driving

From safe roads to enjoyable commutes, automated driving is poised to change lives and society for the better.
Authored by admin Last updated on 11/27/2018 - 16:46
Article

自动驾驶开发如何起步

从安全的路程到愉快的通勤,自动驾驶必将使生活和社会变得更美好。

随着汽车进入自主世界的中心,开发商被赋予创造创新和无缝的解决方案以快速响应市场需求并与市场需求一起增长的任务。 这在车辆和数据中心两方面都要求一些重大的资源。 英特尔已从消费者出发构建了一个生态系统。 利用这些工具,您将能创造——并且重新创造——驾驶的体验。

Authored by admin Last updated on 12/10/2018 - 15:52
Article

Как начать разработку решений для автоматизированного вождения автомобилей

От безопасных дорог до комфортных поездок на работу — автоматизированное вождение призвано изменить к лучшему жизнь обычных людей и всего общества.

Authored by admin Last updated on 12/10/2018 - 15:55