Article

GPU-Quicksort in OpenCL 2.0: Nested Parallelism and Work-Group Scan Functions

Introduction A Brief History of Quicksort
Criado por Robert Ioffe (Intel) Última atualização em 19/11/2019 - 13:39
Article

Sierpiński Carpet in OpenCL* 2.0

We demonstrate how to create a Sierpinski Carpet in OpenCL* 2.0

Criado por Robert Ioffe (Intel) Última atualização em 20/11/2019 - 07:28
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.
Criado por administrar Última atualização em 13/11/2019 - 21:19
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...
Criado por Última atualização em 19/11/2019 - 14:05
Mensagem de blog

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...
Criado por Última atualização em 04/07/2019 - 17:22
Article

Tencent* Uses Machine Learning for In-Game Purchase Recommendation System on Intel® Xeon® Processors

To enhance the online gaming user experience, Tencent uses an in-game purchase recommendation system employing the machine learning method to help users decide what equipment they would want to buy within their games. Tencent machine learning engine uses DGEMM6 extensively in its module to compute the coefficients for the logistic regression machine learning algorithm.
Criado por Nguyen, Khang T (Intel) Última atualização em 15/10/2019 - 19:55