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Intel® IPP - Library dependencies by domain

IPP demain dependencies.
Authored by admin Last updated on 07/31/2019 - 14:30
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Intel® Graphics Virtualization Update

Traditional business models, built on graphics and visualization usages such as workstation remoting, VDI, DaaS, transcoding, media streaming, and on-line gaming, are beginning to draw open s

Authored by Last updated on 07/04/2019 - 19:24
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GPU-Quicksort in OpenCL 2.0: Nested Parallelism and Work-Group Scan Functions

Introduction A Brief History of Quicksort
Authored by Robert I. (Intel) Last updated on 05/31/2019 - 14:20
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Using Intel® HAXM for Developing Android* Wear and TV Apps

Android* has come a long way initially starting with phones, then tablets, Google TV*, Android Wear*, Android TV* (replaces Google TV), 

Authored by Emani, Ashok (Intel) Last updated on 05/09/2019 - 21:50
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Cómo usar Intel® HAXM para desarrollar aplicaciones de Android* Wear y Android* TV

Android* ha recorrido un largo camino, que comenzó con los teléfonos y continuó con las tabletas electrónicas, Google TV*, Android Wear*, Android TV* (reemplaza a Google TV) y Android Auto*.

Authored by Last updated on 05/09/2019 - 21:50
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GPU-Quicksort в OpenCL 2.0: вложенные параллельные вычисления и сканирование групп обработки

Введение Краткий курс истории алгоритма быстрой сортировки
Authored by Last updated on 05/31/2019 - 14:20
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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
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使用英特尔® HAXM 开发 Android* 可穿戴及电视应用

Android* 经历了很长的发展过程,并取得了长足的进步,从最初的手机,到后来的平板电脑、Google TV*、Android Wear*、Android TV*(取代 Google TV)和 Android Auto*。

Authored by Emani, Ashok (Intel) Last updated on 05/09/2019 - 21:50
Article

Использование изображений, доступных для чтения и записи, в OpenCL™ 2.0

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 07/05/2019 - 11:22