Article

Using Basic Capabilities of Multi-Device Systems with OpenCL™

Download for Windows*

Автор: Последнее обновление: 31.05.2019 - 14:10
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

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

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.

Автор: Alex (Intel) Последнее обновление: 30.05.2018 - 07:08
Article

A Runtime Generated FFT for Intel® Processor Graphics

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Автор: Dan Petre (Intel) Последнее обновление: 06.07.2019 - 20:30
Article

SPIR-V is a better SPIR with Intel® OpenCL™ Code Builder

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Автор: Robert I. (Intel) Последнее обновление: 08.07.2019 - 14:19
Article

OpenCL™ Platform/Device Capabilities Viewer Sample

Download for Windows*

Автор: Последнее обновление: 16.09.2019 - 10:46
Article

General Matrix Multiply Sample

General Matrix Multiply (GEMM) sample demonstrates how to efficiently utilize an OpenCL™ device to perform general matrix multiply operation on two dense square matrices. The primary target devices that are suitable for this sample are the devices with cache memory: Intel® Xeon Phi™ and Intel® Architecture CPU devices.
Автор: Последнее обновление: 16.09.2019 - 10:49