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The Future of Gaming Certification Programs

Hi Everyone,

Автор: Последнее обновление: 05.03.2019 - 23:10
Article

Getting Started with libGDX, a Cross-platform Game Development Framework

Developers who want to develop and debug code on the desktop, natively yet be able to run it on multiple OSs without modification will want to know about libGDX.

Автор: Последнее обновление: 09.05.2019 - 13:08
Блоги

Clustered Shading Android* Sample

Provides instructions and samples for clustered shading in Android*.
Автор: Последнее обновление: 09.05.2019 - 21:50
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

The Generic Address Space in OpenCL™ 2.0

Introduction What is the Generic Address Space?
Автор: Adam Lake (Intel) Последнее обновление: 03.07.2019 - 10:34
Article

游戏行业的人工智能设计(第一部分)

The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
Автор: админ Последнее обновление: 12.12.2018 - 18:00
Article

Brick by Brick: Building a Better Game with LEGO* Minifigures Online

Optimizing graphics for Intel® Core™ processors as well as Intel® Atom™ processors is rapidly becoming a strategic imperative for game developers. This article describes how Funcom developed LEGO* Minifigures Online (LMO)to provide exceptional graphical experiences and improved battery life on both platforms.
Автор: Landyn Pethrus (Intel) Последнее обновление: 30.05.2018 - 07:00
Article

OpenCL 2.0 中的 GPU-Quicksort: 嵌套并行性和工作组扫描函数

简介
Автор: Robert I. (Intel) 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