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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
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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 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
Блоги

MICRO48-Tutorial on Intel® Processor Graphics: Architecture and Programming

In this tutorial, we will give an in-depth presentation of the architecture and micro-architecture of the media and graphics accelerator. We will explain the tradeoff between general purpose compute and hardware fixed functions. We will discuss the advantages and disadvantages of on-die integration. We will present the various programming models that are supported. We will present some...
Автор: Последнее обновление: 04.07.2019 - 17:22
Article

使用 OpenCL™ 2.0 读写图片

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
Article

Easy SIMD through Wrappers

SIMD operations are widely used for 3D graphics applications. This tutorial provides new insights into SIMD by comparing SIMD lanes and CPU threads, and steps you through the process of creating a simple, straightforward SIMD implementation in your own code.
Автор: админ Последнее обновление: 02.09.2019 - 15:48